Within the field of anesthesia, the process of arousal following general anesthesia is still little understood. Of particular concern is the way a state of pain can modulate arousal, with the nucleus accumbens (NAc) as a brain region of interest as it serves many functions including controlling mood, pain states, and reward motivation. This study investigates how NAc principal cells change their firing during arousal and are influenced by a pre-existing pain state. To assess this, we leverage the partial sciatic nerve ligation model of chronic neuropathic pain to examine the influence of pain state on arousal. We then test groups of mice in their behavioral responses, including open field test, von Frey, hot plate test, and the return of righting reflex as a measure of arousal from isoflurane anesthesia-induced unconsciousness. In some mice, we record 1-photon calcium-related population activity in the NAc to analyze neural activity during arousal from anesthesia. Our findings will serve to illuminate the underlying brain circuitry involved in arousal from anesthesia and the influence of pain state, which can help improve anesthesia recovery and may reveal non-opioid or endogenous mechanisms for pain relief.

Formalization is the process of translating human-written mathematical proofs into a form that can be verified by a computer. A popular tool for this is Lean, a proof assistant that represents proofs as code. However, the process of formalizing proofs in Lean can be slow and time-consuming. Our research explores so-called "autoformalization" strategies, which aim to automate the generation of Lean proofs. We propose a tree-based search framework to formalize mathematical theorems in Lean using Language Models. This approach explores potential proof steps as branches in a tree, using AI models to suggest "tactics" at each node. This has the benefit of avoiding hallucinations by rigorously checking that AI suggestion represent valid Lean code. We employ both Large Language Models such as Claude Sonnet 3.5 and specialized fine-tuned Small Language Models such as Lean-Dojo. We use Pantograph to interact with Lean, leveraging its native support of Monte Carlo tree search. We assemble a small set of simple and medium-difficulty mathematical theorems to benchmark against, called nanoF2F. Additionally, we benchmark our system on the well-established miniF2F benchmark created by OpenAI.

Wildfires in Western North America have become more frequent and intense in recent years. Wildfire smoke can cause adverse health impacts creating an urgent public health concern. This study compares wildfire smoke preparedness and response plans developed by jurisdictions and institutions in western North America, including counties, cities, states, provinces, and universities. We used qualitative content analysis methods to assess the characteristics of 20 wildfire smoke preparedness and response plans. The majority of the plans included strategies related to air quality monitoring, household-level exposure reduction, and risk communication. Wildfire smoke poses a bigger risk to susceptible and/or vulnerable populations, however, 25% of the plans did not include strategies related to targeted outreach for at-risk populations. Since wildfire smoke plans are a relatively new strategy within emergency response, a “gold” standard set of components has yet to be established, therefore,  significant variations of included plan components exist. To improve these plans, it is crucial to enhance targeted outreach programs for vulnerable populations, develop a standardized framework for preparedness, and integrate plans with existing public health frameworks. Additionally, training for first responders on health impacts and investing in air quality monitoring are essential. Future research should focus on evaluating the effectiveness of outreach strategies, conducting longitudinal health studies, and analyzing the economic impacts of wildfire smoke preparedness. By addressing these recommendations and pursuing further research, jurisdictions can enhance their wildfire smoke preparedness and response plans, ultimately protecting public health more effectively.

Fluoride intake is essential for dental health, yet excessive consumption can lead to fluorosis, a condition negatively affecting teeth and bones. Tea, one of the most widely consumed beverages globally, naturally accumulates fluoride, making it a significant but often overlooked dietary source. Black tea is the most popular type of tea consumed in the U.S. In this study we compared fluoride levels across six brands of black tea and investigated how brewing conditions and water sources affect fluoride concentrations in tea. We brewed black tea from six locally popular brands (Lipton, Tazo, Fortnum & Mason, Twinings, Tetly, and Harney & Sons), using two water sources (distilled water and Seattle tap water), with four samples for each brand using both water sources. We brewed 50 mL of water at 100°C, then we let each sample of the tea sit for 5, 10, and 20 minutes. Ion chromatography was used to measure fluoride concentrations at each time interval. We compared these values to the U.S. Environmental Protection Agency's (EPA) recommended fluoride level of 4.0 mg/L. Our results help characterize the variation between brands and the influence of brewing duration on fluoride release. These findings contribute to a better understanding of fluoride exposure from tea consumption, helping consumers make informed choices about their dietary fluoride intake.

In the age of the internet, literature is consumed in unprecedented ways. Modern social movements often call upon those of the past through key quotes and references to influential literary works. Quotes can go viral, seen outside of their context by thousands of people and become associated with these movements or rediscovered by new communities. For instance, key figures in post-WWII literature such as author and civil rights activist James Baldwin have had their words re-immortalized within the context of contemporary movements such as Black Lives Matter. Baldwin’s era of literature was one of marked social change and evolution within the literary world that parallels our society today, making it significant to understand how quotes from this period can reappear and spread across social media. To analyze the reception of post-war literature on Twitter, we utilized a dataset of over 40 million tweets quoting or referencing James Baldwin, as well as similar datasets quoting four other influential authors of the time including David Foster Wallace and Kurt Vonnegut. We focused on the patterns of text reuse (i.e., the repetition of known quotes) in tweets from 2006-2023, examining key moments of reception and exploring the context of virality for key quotes. During this context-finding process, we also developed a novel method for conducting self-identified user demographic analysis. We implemented clustering algorithms on both tweets and user bios, supplemented the resulting clusters with manual merging processes, and experimented with various visualization strategies. Our results yielded clear quote usage patterns for certain demographic groups, demonstrating the efficacy of the novel demographic extraction method. These methods can be expanded for further demographic-focused social media research and help us understand how cultural movements evolve today.

Obesity is linked to reproductive dysfunction through defects in the hypothalamic-pituitary-gonadal (HPG) axis that arise by unknown mechanisms. Importantly, rodents fed a high-fat diet (HFD) develop similar hypogonadism and reduced ovulatory capacity. During HFD feeding, CNS immune cells (microglia) become activated in the hypothalamus, promoting inflammation, and altering neuronal function indirectly and via cell-cell contacts. Surprisingly, however, genetic ablation of this microglial inflammatory response exacerbates rather than improves HFD-induced HPG axis dysfunction including altering the activity of hypothalamic neurons that express the key reproductive neuropeptide GnRH. Therefore, we hypothesized that increased microglial inflammatory signaling during HFD feeding helps maintain GnRH neuron integrity. To test this hypothesis, we used immunohistochemistry (IHC) to assess microglia-GnRH cell-cell interactions in the hypothalamus of 15-week HFD-fed female mice with microglia-specific deletion of IKKβ (IKKβ-MGKO), a critical regulator of the inflammatory NF-κB pathway. IHC studies using GnRH and Iba1 (microglial marker) revealed fewer cell-cell contacts between GnRH neurons and microglia in the preoptic area of the hypothalamus (POA) of IKKβ-MGKO mice compared with controls. In addition, we found that IKKβ-MGKO mice have reduced levels of Iba1 and total numbers of microglia but no changes in microglial cell morphology as determined by Sholl analysis. These findings suggest that HFD-induced microglial inflammatory signaling promote cell-cell interactions with GnRH neurons that may contribute to maintenance of HPG axis integrity and female reproductive function during diet-induced obesity.

Due to considerations such as dose reduction, or physical limitations of the scanner, computed tomography (CT) images must sometimes be reconstructed from sparse-view or limited-angle sinogram data, resulting in a loss of image quality. In recent years, there has been a great deal of interest in using neural networks to improve image quality in these scenarios. In this work, we implement three neural network architectures – denoising convolutional neural network (DnCNN), U-net, and transformer – and apply them to sparse-view and limited angle problems in both a post-processing and iterative, “plug-and-play” reconstruction context. In post-processing, the neural network is applied to the final image to remove artifacts, while in the plug-and-play approach, it is incorporated into the algorithm that reconstructs the image from the sparse-view or limited-angle data. Based on standard image quality metrics, the post-processing approach with the U-net is found to give the best image quality. The plug-and-play approach, while not always providing the best image quality, is able to ensure fidelity with the sinogram data.

Global interest in and demand for macroalgae farms has increased due to growing interest in seaweeds as food, biofuel, a possible source for carbon sequestration, and an economic asset for small island communities. However, the presence of farms can negatively impact marine mammals, with risks including entanglement, habitat exclusion, and behavioral changes. In this study, we conducted passive acoustic monitoring over three years (2021-2024) in developing macroalgae 5-line and catenary farms at Romero and Media Luna reefs off the southwest coast near La Parguera, Puerto Rico, to assess the long-term effect on bottlenose dolphin (Tursiops truncatus) movement and behavior in the region. Detections were automated using PAMguard software and manually confirmed with visual validation by trained acousticians. We observe higher interaction with farms at dawn and dusk, which corresponds with the crepuscular nature of T. truncatus. To date, we observe no entanglements, and our models indicate no significant long-term effect on the local bottlenose dolphins at low macroalgae biomass. As biomass increases, this may change. This research highlights the important trade-offs between economic development and conservation and the promise of passive acoustic monitoring as an effective, data-rich tool for managers. 

The Red-legged Honeycreeper, Cyanerpes cyaneus, is a member of the passerine bird family Thraupidae (tanagers) and is part of a group commonly called Neotropical honeycreepers.  Along with other honeycreeper species, C. cyaneus is a nectarivore, meaning that floral nectar is a large component of its diet.  It is expected that C. cyaneus, like other avian nectarivores, exhibits specialized adaptations to the tongue and bill and specialized feeding mechanisms for feeding on nectar, but this remains unexplored.  This study analyzes the kinematics (movements in space) of the bill and tongue during nectar feeding in C. cyaneus to investigate how this species is adapted for nectar feeding.  The feeding kinematics of C. cyaneus are then compared to those of three frugivorous (fruit-eating), but opportunistically nectarivorous, tanager species: the Crimson-backed tanager (Ramphocelus dimidiatus), the Palm tanager (Thraupis palmarum), and the Blue-grey tanager (Thraupis episcopus).  These opportunistic nectar feeders were given access to nectar and their feeding kinematics were characterized and compared to those of C. cyaneus to determine how ancestral patterns of feeding kinematics could be co-opted for specialized nectarivory.  Birds were filmed in Panama using high-speed videography and footage was digitized using the DLTdv8 imaging tool. Data were subsequently processed in Microsoft Excel and RStudio.  By comparing the feeding mechanics of C. cyaneus with those of closely related opportunistic nectarivores, this research aims to not only uncover the nectar extraction mechanisms used by C. cyaneus, but will be the first study to examine the evolutionary trajectory of nectar-feeding biomechanics.  These anticipated findings will contribute to a more comprehensive understanding of the evolution of avian nectarivory.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder marked by repetitive behavioral patterns and challenges with social interaction. Gastrointestinal symptoms are a common comorbidity of ASD, and individuals with the disorder tend to have a distinct gut microbial community composition and circulating metabolomes. Elevated levels of gut-derived metabolite 4-ethylphenolsulfate (4-EPS) are associated with ASD mouse models and children with ASD. Administration of 4-EPS to conventional mice induced atypical myelination and anxiety-like behaviors. 4-Ethylphenol (4-EP), its precursor, is produced by gut microbiota before host-mediated sulfation; however, its microbial biosynthetic pathway remains unknown. We propose a pathway involving stepwise conversion of plant-derived complex polysaccharides to 4-EP. My project aims to identify a gut microbial enzyme that completes the first step of this proposed pathway: a hydroxycinnamoyl esterase. After extensive literature review and biochemical study, candidate enzymes from resident gut microbes were identified and selected using bioinformatic tools. In vitro and in vivo experiments will be used to assess their activity towards model and dietary substrates. Remaining substrate and product concentrations will reveal species and strain specific enzymatic activity and substrate uptake. If the results are negative, this bioinformatics to experimental analysis pipeline will be repeated on new candidate enzymes. This work complements ongoing lab investigations to demonstrate the complete enzymatic pathway in a single species. Elucidating the microbial biosynthetic pathway of 4-EPS will contribute to detangling the gut’s role in ASD, regardless of if it is causal to the disorder or simply a biomarker. More importantly, studying the biochemistry and metabolism of gut microbiota supports the efforts to fill fundamental gaps in understanding the gut-brain axis. 

Prenatal lead exposure is associated with learning and behavior problems, reduced growth, and increased risk of miscarriages. The Centers for Disease Control and Prevention and the American College of Obstetricians and Gynecologists recommend lead exposure screening for pregnant women due to the significant health risks lead poses to their developing fetus. However, there is no nationally recognized screening tool, leading to inconsistent practices and potential gaps in care across the country. This project aimed to address this gap by identifying state-specific screening resources for clinicians and creating a tool to help healthcare providers more easily access these resources. Through web searches, emails, and phone calls to 50 state health departments, 20 state-level screening resources were identified, along with county-level resources in three counties with childhood lead poisoning prevention programs. These resources were compiled into an interactive map directing clinicians to screening resources in their region. This tool is being reviewed for potential use by the Pediatric Environmental Health Specialty Units, an organization that provides free pediatric and reproductive environmental health consultation services to clinicians. The tool addresses the barrier to accessing screening resources, ideally increasing lead screening rates and improving pediatric health outcomes. The findings highlight the need for a national screening tool and provide insights into regional differences in recommended screening practices.

As Cannabis use is becoming more widespread there is growing concern regarding the respiratory exposures of employees working in indoor cannabis processing facilities. Employees in these occupational settings are frequently exposed to volatile organic compounds (VOCs), particulate matter (PM), other respiratory irritants, and allergic sensitizers. These exposures are linked to work related illness and disease, such as occupational asthma. Notably, a fatality, in 2022, in a Cannabis worker due to occupational asthma highlights the urgent need for improved exposure controls. Cannabis processing workers experience prolonged and frequent exposure via inhalation with little knowledge on the respiratory hazards of this work. This study aims to evaluate the efficacy of a local exhaust ventilation (LEV) system to reduce exposure to airborne hazards during automated joint filling. Automated joint filling is a common process in Cannabis production facilities, using mechanized equipment pre-ground material is dispensed into pre-rolled cones. This method is preferred in the field as it increases both consistency and efficiency. Over a ~2-hour sampling period across eight batches of pre-rolled joints, we conducted gravimetric sampling for inhalable PM using two inhalable aerosol samplers (IOMs) positioned at the workbench and in the breathing zone. VOC exposure was assessed using thermal desorption tubes and photoionization detectors (PIDs), while continuous respirable PM concentrations were measured using a Nanozen DustCount monitor. Testing air concentration for PM and VOCs with and without the LEV mechanism is being conducted to determine its effectiveness at reducing exposure. We hypothesize that this may be an effective solution, as the LEV has controlled these agents significantly in other similar workplace settings. As this field grows due to recent state by state legalization of Cannabis, these findings hold great impact for workplace safety regulation and solutions. Additional research should be gathered on long-term exposure effects and preventive mechanisms.

Previous work has shown frequency-specific modulation of dorsal hippocampus (dHPC) neural activity during simple behavioral tasks, suggesting shifts in neural population activity during different task phases and animal behaviors. Relatively little is known about task-relevant orchestrated shifts in theta, beta, and gamma rhythms across multiple behavioral timescales during a complex task that requires repeatedly adapting behavioral strategies based on changing reward contingencies. To address this gap in knowledge, we used a spatial set-shifting task to determine whether dHPC plays a specific role in strategy switching. The task requires rats to use two spatial strategies on an elevated plus maze: 1) alternating between East and West reward locations or 2) always going to the same reward location (e.g., only East or only West). Across specific timescales (session based alignments, comparisons of trial types, within trial epochs), dHPC associates differentially with all three temporal categories. Across a session, we observe a decrease in theta and beta power before, and an increase in theta power after, the target strategy changes. Beta power is increased around the point at which rats learn the current rule. Comparing trial types, on trials before a rat has learned the correct strategy, beta power is increased. Within a single trial, after an incorrect (but not correct) choice, beta and gamma power increase while the rat returns to start a new trial. If gamma (but not beta) power was high during this return, the rat is more likely to make a correct choice on the next trial. On the other hand, low gamma power during the return is associated with incorrect trials. dHPC, therefore, appears to track task demands, with the strength of each rhythmic frequency differentially associating with specific behaviors across three distinct timescales.

The balance of ions in soil and water directly impacts sustainable agriculture, human health, and livestock well-being. Small family farms, such as the one in this study, often depend on well water for household and agricultural use, making water quality essential for both food safety and long-term farm viability. This study investigates the spatial distribution of key anions, including nitrate (NO₃⁻), nitrite (NO₂⁻), and phosphate (PO₄³⁻), in soil and well water across a small family-operated farm in Woodinville, WA. These ions were selected due to their roles in plant growth, soil chemistry, and potential health effects on humans and animals. The farm sustains 68 animals, including chickens, cows, donkeys, alpacas, llamas, sheep, quails, and horses, and provides food and water for seven residents. Soil and water samples were collected from distinct zones, including livestock pens, vegetable fields, and tap water from the farm’s well, to evaluate how land use influences ion distribution. Soil samples were collected at multiple sites; ions were extracted from the samples using a  common water extraction method. Ion chromatography (IC) was employed to quantify anion concentrations and assess spatial variability. While this study does not determine definitive sources of the ions, analyzing variations in these ion concentrations near crop fields and livestock areas can help assess potential nutrient leaching and runoff. This type of comparative analysis of soil and well water samples helps quantify potential risks to both farm operations and the health of residents and livestock. This research underscores the importance of ongoing water and soil quality monitoring to ensure the sustainability of small-scale farms that rely on well water and homegrown food, while offering insights for improved land and resource management practices

Sound is a vibration that is created by an oscillating object and travels in periodic waves of pressure through a medium. Sound waves are characterized by properties such as frequency, amplitude, wavelength, and speed. The purpose of my research was to measure the effects the lower temperature and air pressure present in the stratosphere have on the properties of sound. To conduct this research I custom-designed an Arduino based sensor with a barometer and thermometer that was then attached to a weather balloon. The sensor also had a buzzer that repeated a tone at constant intervals along with a microphone that measured the amplitude of sound across various frequencies as it was necessary to consider the impact that the high wind speeds present in the stratosphere would have on the measurements. As the air becomes colder and less dense it also becomes less elastic causing it to transfer energy less efficiently which in turn leads to a decrease in amplitude. Frequency, however, did not change as it is determined by the source of the sound and does not depend on the properties of the medium. Understanding how changes in the properties of the medium affect the properties of sound opens a path to using sound to illuminate the properties of the medium. Additionally, broadening our understanding of how various atmospheric conditions present on our own planet affect the properties of sound deepens our understanding of how the various atmospheric conditions present on other planets will impact the properties of sound.

Multidrug-resistant cancers is responsible for over 90% of the metastatic cancer deaths which show enhanced drug transportation. Our group wanted to know how the acquired drug resistance impacts the flow of the MDR drug class, (Imidazoquinolinone, IMQ) by P-Glycoprotein (transporter protein in helping transport the drug). The experiments were performed by using melanoma cancer cell lines, prostate cells, and mouse genomes as the basis for observation. The cells were then introduced to three derivatives of IMQ, called Imiquimod (IMQ), Resiquimod (RSQ), and Gardiquimod (GDQ). The findings we hope to see were how effective each derivate of IMQ were in transport, hindering cell replication, and rhodamine concentration (compound dye in the cells to see how much of the drug is in the cells) with GDQ expected to have the lowest effect of drug resistance. The future of small molecular immunotherapy prodrugs heavily depends on the research and investigation of candidate compound classes and its derivatives to make sure that it is safe, effective, and the overall quality for the patients.

The external fertilization and transparent embryos of zebrafish make them an informative model of vertebrate embryonic development from the 1-cell stage. In this study, we examine the impact of de novo GTP synthesis on the formation of the embryonic somites, which are embryonic cells which develop into segmented blocks of muscle that run the length of the body. We hypothesize the de novo GTP synthesis is required for the correct patterning of somite borders in zebrafish embryos, and that this process facilitates the formation of a vertebrate body plan. Inosine monophosphate dehydrogenase 2 (IMPDH2) is the enzyme which catalyzes the conversion of inosine monophosphate (IMP) towards the de novo synthesis of GTP instead of ATP. To test the impact of de novo GTP synthesis on somite formation, we inhibited IMPDH2 function with mycophenolic acid (MPA) both before and after somite formation began. MPA caused stronger defects in the somite morphology and embryonic body shape when added to embryos before somite formation began, earlier in development. We performed in situ hybridization against xirp2a to assess the effect of inhibiting IMPDH2 function on the formation and patterning of the somite borders. MPA treatment decreased the definition of somite borders we could observe in the posterior tail. Inhibiting IMPDH2 with MPA produced somites with smooth, round borders instead of the chevron-shape typical of zebrafish. We next conducted immunohistochemistry against IMPDH2 to examine the expression and localization of this enzyme in embryonic cells when GTP conditions are low. In MPA-treated embryos, we observed increased expression of IMPDH2 across the entire embryo. We will next explore how GTP abundance affects activity of the clock, a mechanism which synchronizes gene expression of embryonic cells.

Advances in antiretroviral therapy have increased life expectancy for people living with HIV (PLWH), but aging exacerbates symptoms such as frailty, neurocognitive disorders, and bone loss. Pharmacological treatments often present limitations, including side effects and drug interactions. Non-pharmacological approaches like physical activity and diet may offer holistic symptom management, yet remain understudied in PLWH. The aim of this study is to investigate the association between physical activity levels, diet quality, and symptom experiences in older PLWH. We will analyze data from the PROSPER-HIV study, a prospective observational study of 850 participants (over 50% aged ≥50 years) from the Center for AIDS Research Network of Integrated Clinical Systems (CNICS) across four U.S. sites. Key measures include: (a) moderate-to-vigorous physical activity, assessed via accelerometry; (b) diet quality, measured by the Healthy Eating Index-2015 (HEI-2015) from 24-hour dietary recall; (c) symptom burden, evaluated using the 20-item HIV Symptom Index; (d) muscle strength, assessed via handgrip strength; and (e) physical function, measured using the Short Physical Performance Battery (timed walk, chair stands, and balance tests). Descriptive analyses will identify patterns in physical activity, diet quality, symptom burden, muscle strength, and physical function collected at baseline. Linear regression models will examine relationships between symptom burden, physical activity, and diet, adjusting for age, sex, muscle strength, and function. Findings will clarify the impact of lifestyle factors on symptoms, supporting the integration of non-pharmacological strategies into nursing care. The results will inform nursing practice and public health by highlighting the role of physical activity and dietary improvements in symptom relief.

Plasma, a fluid consisting of highly charged particles, is the single most abundant state of matter in the universe, yet our understanding of its properties remains incomplete. One common method of generating plasma is by inducing a large voltage difference between two charged electrodes in a low-pressure environment, referred to as direct current (DC) plasma. Understanding the relationship between plasma temperature and spectral line intensity as a function of external parameters, such as voltage, pressure, and position, is crucial to optimizing plasma-based processes. This study analyzes these dependencies systematically to help build a further understanding of the spatially dependent properties of DC plasmas. We extract electron temperature from spectroscopic measurements by analyzing line intensities assuming a Maxwell-Boltzmann electron energy distribution. The intensity of spectral lines is related to electron energy via the Boltzmann factor, allowing for temperature determination through a logarithmic plot of intensity ratios versus upper energy levels. By varying voltage and pressure, we identified trends in intensity and temperature, providing insights into plasma behavior. Our results suggest that higher discharge voltages correspond to an increase in electron temperatures, indicating a direct relationship between voltage and temperature. These results provide a greater understanding of plasma-based processes, paving a path toward greater efficiency in applications such as semiconductor manufacturing, surface treatment, and materials processing.

Indium phosphide (InP) quantum dots are a high-performing semiconductor material used in optoelectronic applications due to their tunable electronic properties and low toxicity compared to cadmium-based quantum dots. However, InP quantum dots are currently synthesized at or above 180°C because of the high energy input required for nucleation and growth of the covalent nanocrystals. This study explores the synthesis of small InP clusters at lower temperatures by investigating reaction conditions that can produce InP with reduced energy consumption. Using the precursors indium carboxylate and P(SiMe₃)₃ in a nonpolar solvent toluene, we systematically investigate the evolution of InP clusters at room temperature and 60°C via UV-Vis absorbance spectroscopy. The formation of atomically precise InP clusters was observed at room temperature after 23 days. To speed up the reaction, we investigate adding a polar aprotic solvent or amines to promote the formation of InP at low temperatures. Including 20% of N-Methylpyrrolidone in the solvent mixture with toluene allows InP to be formed in 2 hours. Amine additives interact with the indium cations to modulate their reactivity, therefore we investigate adding varying equivalents both to the pre-formed atomically precise cluster, and to the indium and phosphorous precursors in toluene. We found that adding up to 100 equivalents of benzylamine per cluster did not promote the growth of InP clusters. Our findings contribute to the understanding of how InP forms at low temperatures for scalable, environmentally friendly production.

Societal industrialization and post-industrialization are associated with birth rate reduction. This decline coincides with the increase in accessibility to education, contraception, and employment for people with capacity for pregnancy. In a post-industrial society such as the United States, more people are electing to not parenting. However, an individual’s choice to remain childfree is still deviant from the expected social norms of female-presenting individuals. The mounting stresses of finances, political restrictions of bodily autonomy, and lifestyle lead many individuals to seek community and kinship outside the traditional understanding of family. We aim to describe the experiences and conceptualization of family of cisgender women, a demographic with presumed capacity for pregnancy, as well as a societal expectation of pregnancy and motherhood. Cisgender women of reproductive age, navigate the crux of societal expectation to reproduce while also experiencing factors that disincentivize traditional family-making and the increased accessibility to choose to remain childfree. Existing literature has looked into the reasoning of electing to not parent, however, there is a lack of research into understanding the individual’s schemas about family and their perceptions about their own autonomous decisions. The boundaries of societal expectations of kinship are evolving alongside the societal and political pressures that discourage people from having children. Therefore, we are conducting qualitative semi-structured interviews with cisgender women in Seattle to describe the conceptualization of kinship in a population with reduced barriers to remaining childfree and increased stresses that discourage people from having children. This research will illuminate how they understand and live the paradoxical pressures between the expectation of family-making and their decision not to parent and raise children.

The stimulation of the genioglossus muscle may prevent upper airway collapse in breathing disorders such as obstructive sleep apnea (OSA). Thus, the present study was to analyze the 3D-changes of the tongue base by electric stimulation of genioglossal muscle in relation to volumetric alterations of the tongue base in minipigs. Twenty 8-to-9-month-old Yucatan minipigs were used. Of them, 8 were controls, and 12 were experimental. Each experimental same-sex sibling pair was randomly assigned: 1. Normal-weight having surgical tongue base volumetric reduction. 2. Enlargement having significant obesity, BMI>50. All minipigs received surgical implantation of eight 2mm ultrasonic crystals in a cubic-shaped array in the tongue base. The distance change between each crystal pair indicated dimensional deformations for lengths, widths, and thicknesses responding to the stimulation. Increased distances indicated elongations while decreased indicated shortenings. Stimulations to the left genioglossal muscle were ramping up in range of 10-40V to reach the maximal amplitudes (tetany). Stimulation of the genioglossus muscle in controls induced left lengthening, anterior thickening and overall widening along with posterior thinning and right shortening. In contrast, the reduction group showed thickening and widening with left lengthening and minor right shortening. Elongations in the reduction group were larger than those in the control group (p<0.05). The enlargement group showed decreased dorso-ventral lengths compared to those of the control and reduction groups (p<0.05), along with antero-posterior thickening and widening. Stimulation of the genioglossus muscle induces distinctive deformational patterns between the normal and volumetric-altered tongue bases. For instance, shortening in length in the enlarged tongue due to obesity may suggest retraction of the tongue base inducing narrowing of the oropharyngeal airway. These results may contribute to understanding kinematic adaptations in the respiratory dynamics in relation to the volumetric alterations of the tongue base, a current approach to treat moderate and severe OSA. 

Post-Traumatic Stress Disorder (PTSD) is one of the most common mental disorders in the world. People with PTSD often have difficulty managing time or have witnessed a traumatic event in the past. PTSD is also associated with memory issues which are characterized by intrusive memories that can cause re-experience aspect of the traumatic event. Through the use of computational models, we aim to investigate the differences in memory retention in spaced vs massed practice presentations. We hypothesize that mass practice will lead to less accuracy in recognition and less intrusive thoughts during retention. Through recruiting healthy adult participants with no history of PTSD or other stress-related psychiatric disorders we get a base data avoiding discrepancies. Participants view visual stimuli as images, either neutral or triggering which are presented in pseudo-order and are asked to rate them based on their valence ranging from neutral to extremely negative. The images are presented under two conditions: mass and space presentation. For spaced presentation, different versions of the triggering image category are presented in no particular order with neutral and filler images in between. For massed presentation, all versions of the triggering image category are presented one after the other with no neutral or filler images in between. 24 hours after the initial presentation of the images, participants are tested on memory retention in the form of image recognition. Participants are asked about the difficulty of recalling the image and how often they think about the image. Having collected data during AUT 24, we were able to understand there is a correlation present between memory retention in mass and spaced recognition in terms of traumatic and non-traumatic events. By collecting data through WIN 25, we will have greater accuracy in terms of significant data.

Depression is one of the most commonly co-occurring mental health conditions among individuals with autism spectrum disorder (ASD) for which there are not currently effective strategies to minimize onset. Given that early caregiver support in autism-specific and general areas of functioning predict the development of a range of adaptive social and behavioral patterns, leveraging caregiving processes in childhood and adolescence may represent one approach to decreasing the risk for psychological disorder. However, current research recognizes that the high levels of stress experienced by many families with an autistic child may undermine the quality of support caregivers are able to provide. As a result, there is limited understanding of caregiving strategies that will reliably confer resilience to depression and that will support the successful implementation of mental health-related interventions in autism. As such, this project assesses caregiver involvement in childhood and adolescence as a predictor of depressive symptomatology in autistic adults, and additionally to evaluate the family environment as a moderator of this relationship. It is hypothesized that there will be a negative association between caregiver involvement and severity of depression symptoms, and that the association will be stronger under conditions of high familial warmth but reversed in family environments characterized by high control or rejection. Taken together, family environment will account for appreciable variations in the effectiveness of parent involvement as protecting against the development of depression. This survey study will lay the groundwork for researchers and autism service providers to develop an informed approach to leveraging parent involvement as a preventative measure against depressive symptoms in adulthood.

Hearing loss affects approximately 37.5 million adults in the United States and is associated with significant comorbidities, including depression, anxiety, and social isolation. Among the various etiological factors, aminoglycoside antibiotics are an important contributor to irreversible hearing loss due to their ototoxic effects on inner ear hair cells. Upon entry neomycin accumulates in the cytoplasm and lysosomes, and induces an acute hair cell death. G418, on the other hand, accumulates in lysosomes before triggering delayed death. This difference suggests a previously underexplored role of lysosomal signaling in hair cell survival. Due to the difficulties to access the mammalian inner ear, we are using the larval zebrafish lateral line to study live hair cells. My study investigates the role of lysosomal calcium release in mediating protection against aminoglycoside-induced hair cell damage. Specifically, we focus on Two Pore Channel 2 (TPC2), an ion channel located on the lysosomal membrane, which allows for calcium release upon activation by the agonist TPC2-A1-N. Using dose response curves, we examined the effect of TPC2-mediated calcium release on hair cell survival following G418 exposure. Our findings indicate that activation of TPC2 is able to protect against G418, but not neomycin. Moreover, protection is time sensitive, since activating TPC2 before G418 accumulation confers protection to hair cells, whereas co- and post-exposure activation does not yield a protective effect. These results suggest that lysosomal calcium release plays a critical role during aminoglycoside-triggered delayed hair cell death. This study provides novel insights into lysosomal calcium signaling as a potential mechanism for mitigating aminoglycoside ototoxicity and highlights TPC2 as a promising therapeutic target for hearing loss prevention.

Forest management systems have a dramatic impact on Puget sound ecosystems. Not only does lumber-focused forest management reduce habitat for animals, but the disturbance of the forest floor and removal of canopy cover also impacts many plants and fungi. This study compares moss communities under different states of forest management, exploring how the loss of shade and impact of human management affects the diversity of moss species. I have designated several sites based on their current conditions and state of management and have surveyed moss communities in each site for species richness and diversity. By comparing the data between sites, we can see trends in how moss communities respond to forest management and logging. All sites are based in the Green River College learning forest, which is managed by the college’s forestry program. This is a small fragment forest, but it is extremely diverse with well over 100 flower and bird species. It’s vital that we understand the effects of management on these smaller fragments as well as larger plots. Here we report the differences in moss communities based on taxonomy, sun exposure, and management treatment. By understanding trends in how moss communities are impacted overall, as well as seeing which species of moss are disproportionately affected, we can identify species that are more at risk from human impact. Moss is a vital part of our forests, from maintaining soil moisture and temperature to slowing erosion, it’s important for us to understand how these diverse plants are affected by forest management systems so we can better protect our forests and all the things living there.

Body dysmorphic disorder (BDD) is a relatively common debilitating psychiatric disorder, marked by a preoccupation with one's physical appearance and associated with significant morbidity and mortality. This preoccupation is due to one's perceived flaws that are not noticeable to others, causing extreme distress and functional impairment. Previous neuroimaging studies have shown how aberration in visual processing is central to BDD. BDD participants often exhibit an unusual focus on high-detail image information (high spatial frequency processing) versus broad image information (low spatial frequency processing), leading to perceptual disturbances. Other research has shown hypoactivation of early cortices, such as V1 and V2, can be found in BDD participants compared to healthy controls when viewing low spatial frequency information. Hypoactivation in visual cortices extends across multiple stimulus categories, indicating a fundamental deficit in integrating low-spatial frequency information. This study aims to isolate and examine low-level visual processing using fMRI and visual mapping techniques to precisely localize the stage of the visual hierarchy where visual processing is altered in BDD. We aim to recruit n=30 participants (n=15 with BDD, n=15 healthy controls), all of whom will undergo clinical diagnostic interviews and behavioral assessments characterizing spatial frequency processing, ending with a spatial frequency processing task involving both low-level and high-level spatial frequency processing. We hypothesize that the results of our research will show that those with BDD will display reduced sensitivity to low spatial frequency stimuli in early visual cortices. If our hypothesis is confirmed, these findings will reveal potential new biomarkers of perceptual dysfunction in BDD, informing intervention efforts to address more fundamental perceptual deficits and identify potential risk markers for early detection of this disorder.

The University of Washington’s Center for Global Health Nursing (CGHN) promotes and advocates for the role of nursing in global health by expanding nursing research and providing educational opportunities to students that bridge global and local perspectives. The CGHN’s three research pillars encompass Global2Local, Innovative Methods, and HIV/AIDS. We aim to clarify the global health interests and priorities of UW School of Nursing (SoN) students and increase the visibility of the CGHN. By increasing the CGHN's visibility, our goal is to increase the number of students participating in study abroad, scholarship opportunities, related coursework, and research to further engagement upon graduation. We developed a 19-item survey through RedCAP to identify nursing students’ knowledge, attitudes, and experiences related to global health and the CGHN and administered it at baseline and end line (after six months). Students across all UW SoN programs participated. Baseline data allowed our team to identify areas of focus (study abroad, scholarships, research) and optimal modalities to deliver information (annual Go Global event with global health (GH) nursing speakers, new social media account to amplify opportunities, and pop-up events to bolster enthusiasm). The center’s targeted efforts to meet the dynamic interests of students and the impact of this were informed and documented by our surveys. Surveying the priorities of students and using that information to disseminate services and opportunities effectively helps contribute to a robust community of GH nursing students, researchers, and practitioners.

Intimate partner violence (IPV) is a widespread problem across the U.S. that typically begins in adolescence which can cause severe struggles for the impacted individuals. IPV can be mitigated through some preventative factors, such as education and understanding of IPV. The purpose of this study is to evaluate rejection sensitivity (RS)-- the tendency to strongly react to rejection, including the dismissal or refusal of ideas, people, or offers-- as a mediator between comprehensive sexuality education (CSE) and IPV. I designed this study to use a cross-sectional online survey to measure levels of RS, themes of CSE from middle and high school education, and levels of IPV that individuals have experienced. It includes a representative sample based on Unites States census data of 340 participants who range from 18-25 years and have had a romantic relationship lasting at least two months. The data is analyzed through a mediation model, with RS as the mediator, as well as testing the direct effects of CSE on IPV using R Statistical Software. Analysis models the three pathways: path a-- CSE to RS, path b-- RS to IPV, path C-- direct effects of CSE on IPV (CSE to IPV). I anticipate that RS will act as a mediator between CSE and IPV such that higher levels of CSE will be associated with lower IPV levels through the mediation of RS. Additionally, I hypothesize there will be a direct effect of CSE on IPV. This study aims to improve the understanding of potential preventative factors of IPV as well as inform future interventions, such as CSE. Keywords: intimate partner violence, rejection sensitivity, comprehensive sexuality education

Neuroethics explores the ethical paradigms surrounding neuroscience as it relates to new technologies, research and improved understanding of the brain and nervous system. A study within the Department of Neurosurgery includes human participants who have experienced a stroke. Participants get brain surgery to have intracranial electrodes implanted, have time for surgical recovery, then participate in follow up study sessions to gather neural and other data as they engage in rehabilitation therapy while being recorded and stimulated via the electrodes. From a neuroethics view, there is a limited understanding of why eligible people would choose to opt in or out of participating in this or similar studies. The neuroethics research group has done prior work to explore motivations for people who choose to participate in research and understand their experiences with implantable neural device research. However, few studies explore motivations surrounding a person’s decision to decline an invitation to participate in a research trial for which they are eligible. This project presents a literature review of potential  motivating factors in prospective participants’ decision to decline or participate in research. We will present how this literature review is used to construct a survey instrument to be administered to study decliners and a data analysis framework to interpret the survey results that we will gather. The results will have broad implications for understanding how people living with neurological conditions think about the potential risks and benefits of neurotechnologies that directly modify brain activity.

The research project involves designing and building circuits for a pulsed laser and photodetector for a speed of light time of flight measurement device and developing pedagogy and curricula for 200-level experimental laboratory and 400-level senior research project physics courses. We completed project-based learning on circuit principles, Kirchhoff’s Laws, RLC circuits, Thevenin and Norton equivalence, AC signal, phasors, RC filters, oscillators, impedance, diodes, transformers, operational amplifiers, metal–oxide–semiconductor field-effect transistors (MOSFET), and introductory optics and optoelectronics. We performed hands-on training on analog circuits logic and components, CAD design, prototyping, and practical physics applications of analog circuits. Technical lab responsibilities include learning to design analog circuits using a CAD program; ordering the printed circuit board (PCB); testing circuits for functionality, accuracy, and precision; testing the speed of light measurement device for precision with light passing through air and other mediums; and measuring the refractive index of different mediums. Physics education responsibilities include incorporating our work into BPHYS 231 Experimental Physics Speed of Light Lab; developing a pre-lab quiz and lab manual; and providing documented guidance for students on learning objectives, instructions on use of the new speed of light device, lab extensions for BPHYS 231 final projects, and research topics for BPHYS 433 Senior Project. Due to the large scope of this project, the research will continue through Autumn 2025.

Chlamydia, caused by the bacteria Chlamydia trachomatis, is one of the most common bacterial sexually transmitted infections of the urogenital and gastrointestinal tracts. Preliminary whole genome sequencing of C. trachomatis isolates from women and men who have sex with men (MSM) identified the gene pmpE. This gene encodes for a putative membrane protein that is a key locus of genetic variation between these two populations of isolates. Here, I performed deeper sequencing and structural analysis of natural pmpE variants to better understand how these genetically distinct strains exhibit their tissue tropism differences. PCR-based sequencing of C. trachomatis isolates was conducted against pmpE and ompA to initially type the strain, and then followed by whole genome sequencing to derive complete genomic information. Bioinformatic analysis showed that the cervical and rectal strains are sorted into two distinct clades based on pmpE. To predict possible functional differences, structures of pmpE sequence variants were computationally modeled using Alphafold v3, and analysis demonstrated that variations were confined to predicted surface-exposed loops. Based on the collective data, we hypothesize that two loops may provide functional differences in the ability of cervical versus rectal C. trachomatis strains to interact with tissue-specific host attachment proteins.

The quantum magnetic particle imaging platform (MagPI) is a quantum sensing method that utilizes an ensemble of nitrogen vacancy defects in diamond as a sensor to measure magnetic fields and perform magnetometry. The MagPI experiment currently aims to measure the bend stiffness of DNA through detecting the magnetic fields of an externally applied field and the magnetic moment of a magnetic nanoparticle that has been tethered to our diamond sensor with DNA. This method requires characterized ferromagnetic particles with a size on the order of 10 nanometers and magnetic moments on the order of 10^-18 Am², the latter of which is information that suppliers and producers do not categorize or are able to obtain for singular particles. We will use MagPI and optically detected magnetic resonance to perform vector magnetometry and image the magnetic dipole moments of different magnetic nanoparticles and calculate their magnetic moments. In particular, we will compare TurboBeads, which were the 30 nanometer carbon coated metal particles previously used for this experiment but are no longer obtainable, and 30 nanometer Co-Zn ferrite beads from a collaborator from Sandia. We aim to detect, accurately measure, and categorize the properties of singular magnetic nanoparticles to identify promising particles to use for our experiments. We will compare these two nanoparticles and their properties for MagPI applications. The results of this project will be used for experiments using the MagPI platform, and showcases a method to measure the magnetic moments of singular particles for future use in research projects.

The ventral tegmental area (VTA) contains dopamine (DA) expressing neurons, which are critical for reward processing in the brain. DA neurons are tightly regulated by inhibitory GABA-expressing neurons; these GABA neurons have recently been found to be present in distinct subpopulations in the VTA. Opioids disrupt this regulation by inhibiting VTA GABA neurons via mu-opioid receptors (MORs), leading to increased DA activity and reinforcing drug-seeking behavior. However, the distribution of MORs across distinct VTA GABA subpopulations remains unclear. This study uses multiplexed in situ hybridization to map MOR (Oprm1) expression in genetically distinct GABA populations characterized by their expression of Pnoc, Crhbp, and Cbln4. Preliminary findings suggest differential Oprm1 expression, with Pnoc and Cbln4 populations showing high Oprm1 expression patterns, while Crhbp contains little Oprm1 expression. These results highlight the heterogeneity of VTA GABAergic neurons and provide insight into the mechanisms underlying opioid addiction, which may inform future therapeutic strategies.

Dynamic marine environments require long-term spatiotemporal datasets to successfully monitor and understand patterns in ecosystem composition on a decadal scale. High-resolution photography is often used to compensate for the field logistical constraints associated with marine sites, such as personnel availability or weather conditions, and works well to quickly capture data in the field. However, these photos require extensive manual analysis after the fact. As a research mentee, I asked the question: “Can image annotation with machine learning models provide enough clear data to inform community ecology studies of sessile organisms in subtidal habitats?” Using images collected through transect/quadrat sampling by the Sebens Lab’s Salish Sea Long-term Monitoring Project (University of Washington Biology and Friday Harbor Laboratories), a variation of an open-source model (CoralNet) was trained in the identification of relevant sessile flora and fauna. I then used CoralNet to continue the work of the lab by generating sessile assemblage metrics for a single site in the Friday Harbor Laboratories Biological Preserve. This site included images from transects at two different depths, with sampling from 2014 and 2024. After being uploaded, CoralNet identified 200 random points per image to the lowest possible taxon. I then reviewed all annotations for accuracy and corrected them whenever necessary. This technique greatly reduced the time spent per identification, without sacrificing accuracy. Next, I calculated species richness and Simpson’s Diversity for each quadrat and transect, comparing between depth and year. My analysis showed significant increases in both metrics from 2014 to 2024 and no significant differences between depths, demonstrating a successful report on the dynamics of a subtidal marine community. Application of this method to the entire existing dataset (7 sites, 63 transects per year), and others, provides opportunities to streamline analysis of sessile community composition.

The increasing concern over global warming has driven interest in clean energy solutions, with piezoelectricity emerging as a promising alternative. Piezoelectric materials generate electric voltage under external mechanical forces, offering an innovative method for energy harvesting. This work derives a system of partial differential equations (PDEs) and their accompanying boundary conditions that describe the coupled elastic-electric behavior of an Euler-Bernoulli piezoelectric beam. Under the quasi-static approximation for the electrical field, the assumptions of Euler-Bernoulli beam theory, and the constitutive relations for the 3-1 piezoelectric coupling mode (i.e., voltage is generated in a direction perpendicular to external mechanical force), we develop a Hamilton’s variational principle to derive the governing equations and boundary conditions for the piezoelectric Euler-Bernoulli beam. The obtained equations consist of Gauss’s law of electrostatics and the Euler-Bernoulli beam equation that are coupled due to the piezoelectric effect: apparent electric charges that depend on elastic deflection appear in Gauss’s law, while apparent mechanical forces and moments that depend on the electric potential appear in the Euler-Bernoulli beam equation and its boundary conditions. The derivation from first principles, as well as the study of the governing equations constitutes a fundamental framework for analyzing piezoelectric beam behavior, with implications to the improvement of design of piezoelectric energy harvesters.

Menopause is a significant life transition that is experienced differently across cultures, with each cultural background shaping unique beliefs, expectations, and responses to menopausal symptoms. Among Somali and Indonesian older adults with a uterus, cultural factors play a particularly influential role in shaping the menopause experience, potentially affecting symptom recognition, coping strategies, and interaction with healthcare providers. The purpose of this qualitative study is to 1) explore menopausal symptoms, perceptions, beliefs, and experiences of aging and menopause among Somali and Indonesian older adults, and 2) examine how cultural factors shape their understanding of menopause, as well as how they interpret and manage the symptoms associated with this stage of life. We conducted a cross-sectional qualitative study using semi-structured interviews with 5 participants with a uterus: 2 Somali and 3 Indonesian individuals. We recruited participants through community networks within Somali and Indonesian populations living in Washington state. We included individuals who are 1) 60 years or older and 2) undergoing or have gone through menopause. We chose older adults for their reflective perspective, offering holistic insight into the long-term impact of menopause and their ability to share cultural wisdom and experiences. Our findings will inform healthcare providers in delivering culturally sensitive care to support individuals going through menopause in these communities. Additionally, this knowledge can inform the development of targeted interventions and educational tools that help bridge cultural gaps in menopause understanding, thereby promoting holistic, culturally sensitive, and inclusive care for older adults with menopausal symptoms in these communities. Addressing these deficits can lead to improved care for Somali and Indonesian adults with a uterus while also benefiting women more broadly by promoting a more comprehensive and inclusive approach to menopause support.

The health risks of particulate matter measuring less than 2.5 micrometers (PM2.5)  include: respiratory disease, cardiovascular issues, and cognitive impairments. Its presence near schools and colleges remains underexplored. This study examines the relationship between PM2.5 exposure levels and academic outcomes in community colleges located in historically redlined neighborhoods across four major West Coast cities: Los Angeles and San Diego in California; Portland, Oregon; and the greater Seattle area in Washington. Using data from the PurpleAir Network, state air quality indices, and community college governing bodies, we analyzed and compared PM2.5 levels near institutions located within historically redlined neighborhoods and institutions located outside those neighborhoods. Leveraging the Python programming language and Google Colab, we examined correlations between an institution’s demographic makeup and transfer rates relative to PM2.5 exposure. Data sets obtained were filtered between the hours of 8 AM and 1 PM during the months of January 2024 through December 2024. Our findings indicate a correlation between higher PM2.5 exposure and lower academic performance for colleges serving predominantly racially marginalized communities located within historically redlined neighborhoods. This research reinforces the role of environmental inequities in shaping educational disparities and highlights the need for targeted policies to address air quality in affected communities.

The kinetochore plays a key role during the cell division process, acting as an adaptor between the mitotic spindles and the centromere. The STU1 gene codes for a microtubule plus-end-tracking non-motor protein (Stu1) and facilitates the connection between the kinetochores and mitotic spindles during cell division. It also participates in a checkpoint that ensures proper connections between the spindles and kinetochores before the cell continues into anaphase. Stu1 contains multiple MELT motifs, which are conserved sequences of amino acids that are phosphorylated and targeted by the Mps1 kinase. Mps1 plays a major role in the regulation of segregation and spindle checkpoints. The impact of phosphorylation at the MELT motif on the function of Stu1 is not known. We used a previously constructed CRISPR vector and HDR template to mutagenize the codon within the MELT motif at position 719 in the STU1 gene of Saccharomyces cerevisiae. This mutation would result in a substitution of the amino acid threonine for glutamic acid within the Stu1 protein (stu1-T719E). Threonine is a neutrally-charged amino acid and is used in S. cerevisiae proteins as a phosphorylation site, but glutamic acid mimics a phosphorylation site as it has a constant negative charge. We transformed the CRISPR vector and HDR template DNA into S. cerevisiae cells and recovered transformants. To verify the success of the mutagenesis, we purified genomic DNA from transformed yeast, amplified the STU1 gene via PCR, and then sent for Sanger sequencing. It was found that mutagenesis was successful. This will allow us to move on to the next steps, which include phenotypic tests which will allow us to see if the mutation we made impacts cell division of S. cerevisiae cells. 

Glaciers have long been used as the bellwethers of climate change, given their ability to store gases, dust, microbes, and other environmental materials in their layers; tracking their recession has also been an important visual indicator of climate change. In this research, I examine how anions in newly exposed vary with depth. To do this, I took samples from exposed vertical ice faces on the Coleman glacier, on the north face of Mount Baker. Samples were thawed and analyzed using ion chromatography.  Trace amounts of chloride, nitrate, sulfate, and phosphate were found in each sample. The ion concentrations showed no trend with depth, and the ice itself appeared uniform. This is in contrast from vertical cores taken from solid ice in numerous other surveys, which show distinct annual layers and variation. This suggests that the ice at vertical faces has different properties from that at the top layers, including in its ability to trap environmental markers. Further research is needed to confirm this difference and examine which of these markers is most affected. Increased understanding of these markers could give more insight into how glaciers change over time and interact with their environment.

Liver fatty acid binding protein (FABP1) is highly expressed in the liver, kidney, and gut and is known for its role in binding endogenous lipids. FABP1 has also been shown to bind drugs and modulate metabolism in the liver. A high frequency single nucleotide polymorphism (SNP T94A) in FABP1 is shown to correlate with nonalcoholic fatty liver disease. We hypothesize that this SNP also affects drug binding. To evaluate drug-FABP1 binding, I measure equilibrium dissociation constants (K_ds) by fluorescent displacement assays for both FABP1 wild-type and T94A using two fluorescent probes, 11-(dansylamino)undecanoic acid (DAUDA) and 8-anilino-1-naphthalenesulfonic acid (ANS). FABP1 has a large binding pocket that can accommodate 2 ligands simultaneously in a ‘high affinity’ and ‘low affinity’ binding site. When DAUDA-FABP1 or ANS-FABP1 are titrated with a drug, a drug-FABP1-probe ternary complex is formed rather than the probe being fully displaced. This complicates data analysis and suggests that endogenous lipids may change the affinity of drugs for FABP1. Therefore, I use multiple fluorescent probes with different binding affinity to obtain drug K_d values. I use singular value decomposition (SVD) to isolate individual fluorescent components from the overall observed fluorescence spectra. I then estimate drug and probe K_ds for FABP1 T94A and T94T by fitting the fluorescent change due to binding to dynamic models in COPASI software. From forward and reverse titrations, DAUDA K_d for FABP1 wild-type was found to be 0.194 µM while ANS binds more weakly (K_d = 1.38 µM). From DAUDA displacement assays, diclofenac was found to have a K_d of 3.90 µM for wild-type FABP1 and 3.78 µM for T94A. I anticipate measurement of K_ds for 8 other drugs using both DAUDA and ANS in the coming months. The developed methods will enable evaluation of FABP1’s role in drug disposition.

Dilated Cardiomyopathy (DCM) is a heart disease characterized by the thinning and dilation of the heart's walls, which leads to a decrease in blood pumping ability and can progress to heart failure. Many genetic mutations, primarily in components of the sarcomere, have been implicated in causing DCM. One such mutation is the beta myosin heavy chain mutation E525K. This project aims to understand the molecular mechanism by which E525K leads to disease progression using stem cell-derived cardiomyocytes and a unique multi-level approach to characterizing contractility and cell morphology. Here we show that the E525K mutation can lead to both hyper- and hypocontractility depending on the scale of the analysis. We found that in isolated cells, E525K mutants experienced a 65% decrease in sarcomere shortening and that in engineered heart tissues, the max force produced by tissues with mutant cells was 39% lower than WT tissues. Meanwhile, in isolated myofibrils with the mutation peak force was increased by 45% when stimulated with pCa 4.0 calcium. Morphological analysis showed that mutant cells on average have fewer, smaller, less organized sarcomeres than WT cells. This demonstrates that E525K myosin, though linked to DCM, which is associated with hypocontractility, exhibits both hyper- and hypocontractile effects. Cardiomyopathy affects an estimated 1 in 500 people worldwide and is a major cause of heart failure. Novel pharmacological treatments that activate or inhibit myosin are becoming available; however, cardiomyopathy’s genetic nature complicates treatment. Our findings highlight that the underlying mechanisms causing cardiomyopathy can vary greatly even between patients showing similar disease phenotypes. From a clinical perspective, this complicates what medications should be used, demonstrating that a deeper understanding of the underlying mechanism by which cardiomyopathy-related mutations cause disease is imperative to diagnose and treat patients optimally.

Soil-transmitted helminths impact over 1.5 billion people worldwide, disproportionately affecting school-aged children and pregnant women. Hosts issue a “weep and sweep” Type II immune response to expel helminth parasites from the intestines. Ruptured epithelial cells secrete the cytokine interleukin (IL)-33, which recruits innate lymphoid type 2 cells (ILCs)2 and CD4+ T-helper type 2 (Th2) cells. ILC2s release IL-13, encouraging stem cell differentiation into tuft and goblet cells to facilitate tissue repair and worm expulsion. Anemia is prevalent in helminth-rich environments because of elevated rates of malaria and malnutrition. Despite correlations between anemia and helminth infection, the impact of anemia on the Type II immune response in the small intestines remains unknown. Using N. brasiliensis (Nb), a bloodsucking hookworm-like parasite, I observed that one week post infection, iron-deficient (ID) mice were less capable of expelling worms compared to iron-sufficient (IS) mice. Through tuft cell immunofluorescence staining in the small intestine, I observed comparable hyperplasia in IS and ID-Nb infected mice but noticed differences in cell localization: ID-Nb infected mice had decreased numbers of tuft cells in the crypts compared to IS-Nb mice. This suggests that ID Nb-infected mice could be experiencing decreased migration/proliferation of tuft cells, compared to their IS-infected counterparts. Using EdU, a synthetic nucleotide tag that labels newly synthesized DNA, we can understand cellular proliferation patterns in IS vs. ID Nb mice. Co-staining for tuft cells permits us to merge events and track unique vs. universal trends in cell behavior, including cells’ migration patterns. I hypothesize that ID-Nb mice will have decreased cellular proliferation and migration compared to IS-Nb mice, ultimately impacting worm burden. These findings offer insights into the mechanism behind negative outcomes in anemic hosts, and could contribute to dietary intervention or therapies targeting the epithelium to alleviate burdens of helminth infection.

The widespread use of makeup raises concerns about bacterial contamination, which can lead to acne, rashes, pink eye, and staph infections. Despite these risks, hygiene practices in cosmetic use, especially in public settings, are often overlooked. This study investigates bacterial contamination in both personal makeup products and in-store testers to assess potential health risks. Swab samples were collected from used personal cosmetics and store testers at popular beauty retailers, focusing on mascaras, foundation bottles, lipsticks, and sponges. Samples were transferred to nutrient-rich media plates, incubated at 37°C for 24–48 hours, and analyzed through colony-forming unit (CFU) counts and Gram staining for bacterial classification. Preliminary results suggest that store testers contain higher bacterial loads than personal products, emphasizing the need for improved hygiene practices in retail environments. These findings could encourage cosmetic brands and retailers to implement better sanitation protocols, such as stricter single-use applicator policies or improved packaging designs, to limit bacterial contamination and promote safer cosmetic use.

We present BIOGEM, a fully biodegradable McKibben actuator with integrated sensing, made from gelatin-based composites. By tailoring the material compositions, we customize the mechanical and electrical properties of the biodegradable composites, creating an integrated biodegradable system that combines both actuation and sensing functionalities. BIOGEM integrates a McKibben actuating structure by using stiff gelatin as outer braiding and the stretchable gelatin as air chambers. It also integrates resistive strain sensing through ionic gelatin, allowing the actuator to monitor its own deformation without relying on conventional electronics. We characterize the actuator’s performance across key parameters including braid angle, wall thickness, and material stiffness, demonstrating reliable contraction and repeatable force output at low pressures. Biodegradation is validated through both enzyme-assisted and backyard soil studies, confirming the material’s sustainable end-of-life behavior under realistic conditions. We illustrate the potential of this platform through interactive, edible, and environmentally-degradable prototypes across human–computer interaction and soft robotics scenarios.

As climate change increases temperature, Pieris rapae caterpillars' feeding habits may be affected. As their feeding habits are altered, P. rapae may begin to migrate to different plants; this can be detrimental for agriculture because these defoliating caterpillars are pests. P. rapae caterpillars are known to feed on Brassica species, including collards and kale. It is also shown that caterpillars increase their feeding rate at higher temperatures (Kingsolver 2000). However, little is known about how temperature influences their feeding preferences. In this experiment, we find the consumption rate of P. rapae 4th instar larvae eating kale (Brassica oleracea var. sabellica) and collards (Brassica oleracea var. viridis) to find consumption preference between these two plants at 14°C, 23°C, and 35°C. Larvae were placed on a moist filter paper in petri dishes containing 2 collard and 2 kale leaf disks placed in an alternating fashion. Petri dishes were placed in three separate incubators set to the three temperatures. We predicted that P. rapae would have a preference for collards since they are reared on collards in the lab and they would increase their consumption of the preferred plant. We also examined the percentage per hour of each leaf eaten and compared this data between types of leaves and temperatures. The data showed that as temperatures increased, the consumption rate of P. rapae caterpillars also increased. Though, there was no change in preference as the P. rapae caterpillars consistently preferred collards over kale. This suggest that higher temperatures from climate change will increase the rate at which caterpillars eat, but will not affect preference. It is important to consider the change in consumption rate of caterpillars with temperature when aiming to prevent crop damage in the face of climate change.

During inflammation, myeloid-biased hematopoietic stem cells (myHSCs) are crucial for replenishing myeloid cells and platelets. Excessive activation of myHSC during aging and chronic inflammation results in the loss of their regenerative function. We have shown that Semaphorin-4A is a neutrophil-derived molecule that confers myHSC resilience to inflammatory stress and safeguards their epigenetic state, preserving their regenerative function. Sema4AKO mice exhibit excessive myHSC expansion and myeloid bias compared to their wild type (WT) counterparts, particularly in the context of aging. Given that myHSC are positioned at the top of hematopoietic hierarchy, we asked whether myHSC molecular defects due to the absence of Sema4A are “passed down” to mature progeny. In preliminary analysis of aged WT and Sema4AKO mice, we mapped the neutrophil maturation pathway via whole bone marrow RNA Sequencing. Notably, we found that in aged Sema4AKO mice, this process was significantly dysregulated. Moreover, the neutrophil transcriptional signature was abnormal and consistent with excessively activated, pro-inflammatory state. This suggests that neutrophils produced from KO mice may have defective function. To investigate this, we are using a murine ligature-induced periodontitis model to monitor alveolar bone loss as a readout of neutrophil function. Periodontitis is an oral disease that leads to alveolar bone loss and promotes inflammation, specifically production of myeloid cells. The ligatures are placed on the left second maxillary molar and are left on for 8 days. After this incubation period, the mice are euthanized, and bone loss is measured. Since the ligatures are only placed on one side of the mouth, the other side acts as an internal control for bone loss. In our preliminary studies in WT mice, we observed that as expected, ligature-induced periodontitis causes bone loss. Having established this model in our lab, we are starting experiments to examine the impact of Sema4AKO on neutrophil function.

Currently, monitoring the heart's electrical activity to diagnose cardiovascular disease requires the patient to have electrodes placed on their chest. A novel approach was proposed to record ECG (electrocardiogram) signals from human fingertips, which could offer a more convenient alternative for in-home use. A prototype device was designed to capture and process the ECG heart signals for real-time health monitoring. The development process included schematic design, printed circuit board (PCB) layout creation, hardware assembly, troubleshooting, and data acquisition and analysis. The device has three rounded copper electrode plates for collecting ECG from 3 fingers, with one serving as a noise-canceling electrode. ECG signals were successfully recorded from volunteers using these fingertip copper electrodes mounted on a PCB with biomedical signal amplifiers. Additionally, basic signal-processing algorithms have been implemented in MATLAB to remove noise and enhance ECG signal quality for parameter extraction. With further research and refinement, this prototype could evolve into a portable, user-friendly device suitable for at-home monitoring or clinical use as an alternative method for tracking heart activity.

Latine people constitute the largest minority in the US, yet the prevalence of diabetes within the Latine community is nearly twice that of White Americans. Latine populations also experience food insecurity at higher rates than the national average, which heightens their risk for chronic conditions like type 2 diabetes (T2D). While nutritional counseling is critical for T2D care, there is limited research on the barriers to effective counseling, especially for minoritized identities. Understanding how Latine patients relate to counseling and barriers to adherence is an urgent health concern with significant implications for addressing health disparities. This study investigates both micro (e.g., provider pathologization of culturally relevant foods) and macro (e.g., food access) barriers to following nutritional guidance for Latine people with T2D. Previous research in South Asian communities shows providers pathologize culturally relevant foods, leading to poor metabolic control, increased complications, higher healthcare costs, and lower quality of life. Food insecurity exacerbates outcomes, with food-insecure diabetic patients reporting less control over their diets despite understanding dietary requirements. However, these barriers remain unexplored for Latine people with diabetes in the US healthcare context. Through a qualitative study in Greater Seattle, we seek to understand the experiences of Latine people managing T2D by conducting structured interviews on barriers to following nutritional counseling. Content analysis uncovers themes related to micro and macro barriers. We aim to enhance culturally competent healthcare to overcome barriers preventing Latine people with T2D from following nutritional guidance. By amplifying the voices of Latine patients, we can inform providers on more effective ways to interact with this population and develop tailored care plans.

Alzheimer’s disease (AD) is a progressive neurodegenerative disease that affects millions of people. Repetitive transcranial magnetic stimulation (rTMS) is a noninvasive stimulation typically used in psychiatric conditions such as depression and anxiety. rTMS works by using an electric current to generate a transient magnetic field, depolarizing neurons in a target region and creating lasting changes in brain connectivity via synaptic plasticity. Patients with AD show disruptions in the Default Mode Network (DMN), a network of brain regions typically active during rest and crucial for memory consolidation. We hypothesize that strengthening the DMN through rTMS targeted at the left Brodmann 8AV region, selected for being an easily accessible node of the DMN, will improve memory in AD patients. To test this hypothesis, we are conducting a single-blind, single-arm, randomized cross-over trial of rTMS on early-stage AD patients over a 12 week period with week 1 where we scan for the 8AV region via MRI, during week 3 and 8 being the placebo or treatment week. We measure our primary outcome of the participants’ speed of forgetting —a novel index of memory function—through an individualized, adaptive memory test. To eliminate potential confounding variables, we also measure depression and anxiety symptoms during the 1st, 8th and 12th week of the study. Additionally, functional MRI scans will be analyzed for potential structural or functional differences caused by treatment. Preliminary results from our initial participants have shown promising improvements, and we are hopeful that similar outcomes will be observed in the remaining participants. Successful results would provide a novel target for AD treatment using rTMS, and support further investigation of rTMS as a viable treatment option.

Beaver dams can function as natural filters helping decrease pollution in streams, creeks, and rivers. Beaver dams slow down the water flow in a creek or river, forming ponds that help trap excessive nutrients. An excess of nutrients such as phosphate and nitrate can cause eutrophication, leading to increased algal blooms that can produce toxins and ultimately deplete oxygen in the water. This study investigates the ion levels of chloride, fluoride, phosphate, nitrate, sulfate, and bromide upstream and downstream of the major beaver dam at Pipers Creek in North Seattle's Carkeek Park over the course of a year to better understand the long-term impacts of the dam. We collected three water samples at each of eleven sites along the creek, eight upstream from the dam, and three downstream. Ion chromatography was used to measure the concentrations of anions at each site. The results of this study help elucidate the role of beavers in moderating water quality and provide important baseline data documenting seasonal variations in the nutrient load at Pipers Creek. These findings can also be used to better understand the impact of new beaver dams in other freshwater systems.

Manduca sexta is a model lepidopteran insect organism which has been widely used in the field of chemical ecology due to its impressive olfactory senses. Odorant reception plays an important role in locating nectar sources, mating, and ovipositioning. Insects detect volatile chemical compounds (VOCs) present in their complex environment primarily through their sensory organ antenna. Each antenna is made up of thousands of olfactory receptor neurons (ORNs) and each neuron detects specific odor molecules with specific odorant receptor proteins. The whole genome sequencing of Manduca sexta has identified the major chemosensory receptor proteins: odorant (ORs), ionotropic (IRs) and gustatory (GR) but the role of each receptor is still unclear. In this project, we are investigating the role of female-biased odorant receptors OR5 and OR6, which might be involved in detecting VOCs present in their environment and play an important role in mating and oviposition. To investigate the role of these ORs, we have generated mutant strains by using a CRISPR/Cas9 approach and we are checking their effect on odor detection and oviposition behavior by comparing them with wild type strains. We are also performing an RNA-FISH experiment to visualize the ORs and locate the olfactory sensory neurons in the female antennae. In addition to this, we are also working on developing a neurogenetic tool which will allow us to measure the neuronal activity in response to different olfactory stimuli by generating a pan-neuronal BRP-GCaMP6s transgenic line.

This project investigates the effects of Chile’s 2020-2021 pension withdrawals on household consumption across food, housing, transportation, healthcare, and education. I use existing socio-economic household survey data for my analysis. Chile’s Covid response allowed civilians to withdraw up to 30% of their pensions, impacting 11 million workers and reducing pension assets by an estimated 22% of GDP. This policy mirrors actions in 30 other countries globally, now facing similar challenges. This research aims to address the literature gap in consumption research, and provide a framework for policymakers in affected nations to understand how the pension funds were used in terms of consumption. My role encompasses everything, from design to analysis. First, I make sure the two groups being compared (Chilean households who withdrew funds and who did not) were on similar spending paths before the withdrawals happened, known as pre-trend analysis. I use statistical tools, such as t-tests, to check if those trends were similar—basically confirming that the two groups were spending similarly before the policy change. Second, I use a statistical model, called Difference-in-Differences (DiD), to isolate the specific effect of the withdrawals from other things that might have affected spending. Third, I look at how the pension withdrawals affected retirees and non-retirees as well as different income demographics, to see if the impact was the same or different for everyone, known as heterogeneity analysis. As this project is in-progress, I assume I would find a statistically significant, varied impact on household consumption. I anticipate increased spending on essential purchases since the Covid crisis led to many financial difficulties that affected households' spending. These findings can help inform younger generations around the world about their decisions regarding their own retirement planning decisions, as this global issue disrupted their retirement savings.

As individuals experiencing homelessness age, their healthcare needs become increasingly complex. People over age 50 are the fastest-growing group experiencing homelessness, yet there is little knowledge about specific subgroups, particularly older homeless veterans. The aim of our study was to explore the experiences of older veterans and non-veterans experiencing homelessness, with a focus on contextualizing the unique barriers to accessing healthcare and maintaining stable housing in each group to better understand how these factors impact healthy aging. Using a qualitative research design, we developed a semi-structured interview guide in collaboration with key informants from Compass Housing Alliance. We recruited participants aged over 50 who have recently exited homelessness and are living in Permanent Supportive Housing (PSH). We conducted forty-five-minute interviews with veterans (6-10 participants) and non-veterans (6-10 participants). The questions focused on daily living, work, healthcare, connection & community, access to structural support services, and perceived impact on aging well. We recorded and transcribed these semi-structured interviews, which we coded to identify key themes. Additionally, all participants completed a basic survey to capture demographics such as length of time homeless, age, and gender. After the initial thematic analysis, we had a second session with participants to check the accuracy of the identified themes. The qualitative approach of this study provides new data directly from those with lived experience. This study offers critical insights into the unique challenges faced by aging veterans in comparison to non-veterans in PSH, exploring gaps in healthcare access, limitations of healthcare services, and the role of housing stability for older adults. This research is significant to policymakers, healthcare providers, and housing organizations seeking to tailor support to the heterogeneous groups within the aging homeless population.

My project aims to improve sanitation in mental health and maternity hospitals in Ethiopia by introducing pressure-washing cleaning services. This initiative goes beyond routine cleaning, it restores dignity and safety to healthcare facilities where poor hygiene discourages patients particularly expectant mothers from seeking essential care. By reducing contaminants and improving cleanliness, the project will create a more welcoming environment that encourages hospital births rather than home deliveries driven by unsanitary conditions and odors. To achieve this, I am providing pressure-washing equipment to underserved hospitals and clinics focusing on four hospitals and three clinical facilities in urgent need of sanitation improvements. Additionally, I am engaging with smaller underserved clinics that play a vital role in delivering essential healthcare services to their communities. This project presents multiple challenges including identifying high-need facilities managing equipment distribution and coordinating regular cleaning schedules. I am actively involved in every aspect from logistical planning to hands-on implementation. My role requires strong project management and problem-solving skills to ensure a tangible impact with limited resources. Beyond logistics, this work demands an understanding of the experiences of vulnerable patients. Effective communication with hospital staff and government officials is crucial for building trust and aligning our efforts with their priorities. This experience is helping me grow as a leader improving my ability to mobilize communities around a shared goal while remaining sensitive to cultural and systemic challenges. Ultimately, this project is about more than sanitation—it is about transforming healthcare spaces into environments where patients feel safe respected and encouraged to seek the care they need.

Ecological data from the Green River College main campus trails have recently shown a significant increase in fungi observations in recent months compared to previous years. In addition, the diversity of these fungi vary greatly in comparison to previous years, raising concerns of identification errors. This project works to manually sort fungi observed on Green River College into their proper taxonomic groups to observe the species abundance and diversity of September 2023-December 2023 compared to September 2024-December 2024. Results show that, although there were several errors with the initial identification of several species, the abundance, distribution, and variation of fungi had significantly increased in Fall 2024 compared to Fall 2023.

Medium-chain acyl-CoA dehydrogenase deficiency (MCADD) is a fatty acid β-oxidation disease associated with severe hypoglycemia and sudden death. MCADD is caused by biallelic pathogenic variants in the ACADM gene, which codes for a dehydrogenase specific to carnitines C6 through C12. MCADD is included in newborn screening (NBS) and characterized by elevated medium-chain acylcarnitine fats, annotated as C6, C8, and C10:1. Diagnostic testing is performed in plasma. Acylcarnitine results in dried blood spots have been described to differentiate carriers from affected individuals to reduce false positive NBS. Disease sensitivity and specificity, particularly to differentiate carriers from true positive cases, has not been well described in plasma. We posit that MCADD diagnosis will be more accurate if additional ratios beyond the primary disease markers, C6, C8, and C10:1 acylcarnitines, are considered. This study is a retrospective data review of NBS cases that were positive for possible MCADD and diagnostic testing was performed at Seattle Children’s Hospital. Cases are sorted into four groups: MCADD with homozygous disease variants, compound heterozygous MCADD, carriers of MCADD, or true negative. In collaboration with the biostats core service, linear regression models and receiver operator characteristic curves will compare acylcarnitine species and ratios by group. Preliminary results demonstrate that the primary markers associated with MCADD, C10/C2, C10/C6, C8/C2, C8/C10, and C8/Free carnitine, clearly discriminate affected individuals from control cases in plasma. Analysis is in process to compare the different genotypes of affected MCADD from carriers. Uncovering the diagnostic accuracy of plasma acylcarnitine profiles may influence future testing plans and improve the cost-effectiveness of healthcare services. DNA testing remains costly and slow. Additional biomarkers that provide a conclusive diagnosis of MCADD without requiring genetic testing may lead to more equitable patient care.

Neutrophils are a type of white blood cell in the human immune system that can migrate through tissues to respond to sites of injuries and infections. In the laboratory, we can recapitulate neutrophil migration under controlled experimental conditions by using a cell line, called HL-60, that was originally derived from a person with leukemia. These cells can be cultured to imitate the behavior of neutrophils, and specifically they are able to migrate while we watch them on the microscope. First, I determined how HL-60 cell migration depends on the physical nature of the substrate they are crawling on. I compared cell migration under three different conditions: 1) uncoated plastic, 2) plastic treated to make the surface stickier for cells, and 3) plastic coated with a protein, BSA, to make the surface less sticky. I found that cells moved faster and with straighter paths on the uncoated plastic. Next, I used a drug, CK666, which is known to inhibit a protein that is important in the assembly of the cell’s actin cytoskeleton, the mechanical driver of cell migration. As expected, I found that the cells moved more slowly in the presence of the drug. Also, I found that the drug made the cells move in less straight paths. Finally, I explored how the HL-60 cells responded when I exposed them to an electric field. Electric fields are thought to arise naturally at sites of skin wounds. I observed that the cells moved toward the cathode of the electric field. I am currently analyzing whether the cells also move faster or straighter when there is an electric field present. In future experiments, I plan to determine whether mutating specific proteins thought to be involved in cell motility can change the behavior of the HL-60 cells on the microscope.

In vivo genome editing of hematopoietic stem cells (HSCs) offers a promising approach for treating hemoglobinopathies and HIV/AIDS. The Lieber Lab has developed helper-dependent adenoviral (HDAd) vectors that preferentially transduce primitive HSCs in mobilized CD46-transgenic mice, humanized mice, and rhesus macaques following intravenous injection. However, off-target transduction (including other blood cell lineages and various organs) remains a critical challenge, potentially compromising safety. Moreover, the comparison of PGK and the relatively strong Ef1α promoters revealed that the editor expression level influences editing outcomes, especially in multiplex editing approaches. To address these limitations, the project’s goal is to engineer a highly active HSC-specific promoter that maximizes on-target gene editing while minimizing off-target effects, improving both the safety and efficacy of HDAd-based therapies. I first generated GFP reporter plasmids containing roughly 2 kb of proximal promoter sequence from five genes highly expressed in HSCs: CD164, cKit, DSG2, PROM1, and PROCR. These constructs were introduced into human CD34⁺ cells via nucleofection, and the cKit and PROCR promoters showed the strongest GFP expression in the HSC-enriched (CD34⁺/CD45RA⁻/CD90⁺) subset. To further enhance promoter activity, we linked the top-performing promoters to distal HSC enhancers that, according to ENCODE/Hi-C analyses from Dr. David Hawkin’s Lab, regulate cKit (2 enhancers), CD164 (4 enhancers), and PROM1 (2 enhancers). Engineered promoter-enhancer constructs yielded 3- to 4-fold higher GFP expression than Ef1α in CD34⁺/CD45RA⁻/CD90⁺ cells, with the cKit promoter + CD164-3 and PROM1 enhancers showing the highest activity. Building on these findings, we have incorporated these HSC-specific promoter–enhancers into helper-dependent adenoviral (HDAd) vectors driving an ABE8e-base editor for γ-globin reactivation. Ongoing work is focused on evaluating the specificity and efficacy of these HDAd vectors in humanized mice and CD46/βYAC-transgenic mice, with the ultimate goal of achieving safer, more effective in vivo genome editing in HSCs.

Protein kinases have been found to regulate cellular processes such as growth and stress response. Thus, they act as excellent targets for drug treatment. The Mycobacterium tuberculosis (Mtb) genome encodes 11 serine/threonine protein kinases. Our lab has previously found that two of these kinases, PknF and PknL, show a large survival deficit when induced. They phosphorylate similarly throughout central carbon metabolism (CCM), a process known to be involved in cellular survival. To test kinase regulation of different pathways in CCM, I tested the growth of avirulent Mycobacterium tuberculosis (aMtb) strains expressing PknF or PknL using two different carbon sources: propionate and succinate. Propionate is broken down into propionyl-CoA, a toxic co-intermediate, which passes through the methylmalonyl or methylcitrate pathway to enter the citric acid cycle at succinate. The methylmalonyl pathway requires vitamin B12 to proceed and prevent toxic propionyl-CoA build up. Thus, propionate + B12 was tested to further elucidate regulation of these pathways. I measured colony-forming units (CFU) to quantify aMtb survival in these growth conditions. I compared survival measurements of the PknF and PknL induced strains relative to an empty vector control strain. I found that PknF induced grown with propionate showed a greater survival deficit by day 7 compared to the strain grown in succinate. Interestingly, the addition of B12 did not rescue growth as it did in the empty vector control. PknL induced grown with propionate shows a greater survival deficit compared to succinate; however, the addition of B12 decreased the survival deficit experienced in propionate. Due to this difference between B12 phenotypes, we hypothesize that PknF induction is regulating the methylmalonyl pathway, resulting in no rescue of the survival deficit. These findings can be used to inform future studies on PknF and PknL as potential targets for tuberculosis treatment during infection.

Pancreatic Ductal Adenocarcinoma (PDAC) is a deadly disease without prognostic tools for early detection or effective therapeutic strategies. Activin A is a cytokine that is upregulated in tumor and stromal cells that surround the tumor in PDAC and acts as a promoter of metastasis. Activin A has also been shown to stimulate the AKT pathway which is proto-oncogenic. Here, we set out to test the hypothesis that activin A drives PDAC development through the AKT pathway. Western blots for proteins of the AKT pathway (phospho-PRAS40 and phospho-β-catenin) and transwell migration assays will be performed on PanC1 pancreatic cancer cells stimulated with activin A. Additionally, inhibitors of the activin A receptor subtype 2A (ACVR2A) and the AKT pathway will be included to delineate receptor-specific effects. Given activin's known role for simulating the AKT pathway, it is expected that activin A stimulation will phosphorylate and trigger increased migratory capacity of PanC1 pancreatic cancer cells. Inhibitor experiments will confirm that these effects are ACVR2A specific. This data will identify if activin A is a novel therapeutic target in late stage PDAC, a disease with limited targeted pharmacological treatments. 

This research study explores the evolutionary adaptations of the TLR7 protein receptor in primates in relation to Flavivirus (Yellow Fever) recognition. TLR7, an important receptor in the immune system, is essential for recognizing single stranded RNA viruses such as Flavivirus. Given the growing prevalence of Yellow Fever in tropical climates, I hope to understand how environmental factors shape immune response. I hypothesize that ecological niches, particularly wet vs dry climates, play a crucial role in the evolution of the TLR7 receptor among primate species. Since Yellow Fever is transmitted by mosquitoes, which thrive in wet climates, these environments are likely driving the transmission of the virus. As a result, wet climates may exert selective pressure on the evolution of TLR7 to enhance immune responses against Yellow Fever in regions where mosquitoes are prevalent. To conduct comparisons of the TLR7 receptors, I will be running Blast, a bioinformatics software that compares genomic sequences across different species. This tool will allow for identification of both conserved and divergent regions in the TLR7 sequences from primate species, including humans, that inhabit wet and dry climates. These variations could reveal evolutionary adaptations influenced by ecological pressures. Through these sequence comparisons, I aim to explore how differences in TLR7 might affect susceptibility to Yellow Fever and other similar viral infections. Understanding how ecological conditions shape immune receptor evolution could also improve our ability to predict how different populations might respond to emerging infectious diseases.

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by challenges in communication, social interaction, and restricted repetitive behaviors and interests (RRBs). Studies have alluded that a relationship exists between RRBs and difficulties with emotional regulation in ASD individuals. However, a better understanding of this relationship is not only critical for improving therapeutic approaches for individuals with ASD, but also to understand the underlying mechanisms of the disorder. In this study, we aim to explore the relationship between emotional control and compulsive and ritualistic behaviors in youth aged 8–17 years with and without ASD as well as look at sex as a confounder. Emotional control will be assessed using Behavioral Rating Inventory Executive Functioning T-scores, and the presence of Compulsive and Ritualistic Behaviors were assessed from the Repetitive Behavior Scale-Revised subdomains. We will compare emotional control scores between participants with and without these behaviors (based on clinical cutoff). To do so, first, we will conduct an ANOVA to assess the impact of Group (ASD vs TD), Sex (M vs F), and Compulsive behavior (Above/Below Clinical Cutoff) and their interactions on Emotion Control (dependent variable). Second, we will conduct the same analyses with Ritualistic behaviors on Emotion Control.  We hypothesize that youth with compulsive and ritualistic behaviors will demonstrate lower emotional control than those without (main effect of RRBs). We also predict that males will have lower emotional control than females (main effect of sex) and that autistic youth will have lower emotional control than their typically developing peers (main effect of diagnosis). This research has the potential to reveal insights regarding the interaction between emotional regulation and RRBs in youth with ASD, highlighting the importance of interventions targeting emotional control. Such interventions can improve emotional regulation and also address compulsive and ritualistic behaviors.

Hemophilia A (HemA)—a severe genetic bleeding disorder affecting 1 in 10,000 people—is caused by mutations in the F8 gene. These mutations cause an inability to produce the coagulation factor eight protein (FVIII) necessary to stop bleeding after a wound. Current treatment- repeated FVIII replacement, is costly and frequently ineffective, as around 30% of patients develop inhibitor antibodies causing the immune system to reject the foreign protein. Alternatively, our lab hopes to utilize gene therapy to restore the functional gene and allow the body to continue producing the essential FVIII protein itself. 45% of human HemA cases are caused by a mutation of the human F8 gene where a large portion called Intron 22 (In22) is inverted. The In22 inversion halts translation of the rest of the gene, and the resulting FVIII protein is truncated and non-functional. To address the mutation, our lab aims to use a CRISPR-based knock-in approach to the DNA following In22, upstream of the mutation site. We expect that this strategy can restore endogenous production of missing FVIII and potentially provide curative treatment for affected patients. To test this treatment’s efficacy, this project utilizes a HemA mouse model (E16) in which a neo cassette insertion at the 3’ end of exon 16 disrupts FVIII expression. We propose using the same strategy to integrate the missing DNA upstream of the mutation and restore FVIII function in HemA mice. I use molecular cloning to construct and evaluate different versions of the CRISPR-Cas9 plasmid containing sgRNA, and a plasmid containing the donor DNA. This research allows us to determine the safety and efficacy of our gene therapy strategy, and evaluate how to maximize recovery of FVIII production. This project aims to eventually contribute to treatment of human HemA patients, without the expensive and unreliable replacement of the protein.

Social expectations are constantly changing, and even subjects typically considered “taboo” are changing as well. Though sex is often seen as a private, maybe even secretive, discussion, this lack of public eye to the true nature of sex can lead to many difficulties in an individual's personal and intimate life through misunderstandings and social expectations. This literature review focuses on possible correlations between behavioral sex therapy treatment (such as guided open communication, and sensate focus) and aspects of unsustainable romantic relationships (such as stonewalling and criticism). Some sexual dysfunctions can arise from emotional difficulties, such as anxiety during or before sexual encounters, lack of enjoyment from one or both partners, or different perceived ideas of what is supposed to happen during sex. These difficulties can translate into daily life in the relationship outside of sex. By treating these dysfunctions there may be a domino effect which impacts the relationship outside of sexual relations, which can improve the relationship overall and lead to a relationship that is more sustainable for all parties involved. Through comparisons of articles on treatments typical in behavioral sex therapy and articles defining aspects of unsustainable relationships, like those published by John Gottman, initial findings support connections between the topics. These positive correlations indicate an innate connection between sexuality and relationships, which could lessen the social stigma that surrounds discussing sex or sexual topics

The importance of accurately identifying infections and wounds is crucial for correct medical treatment. In serious cases, misidentification of infection can cause delay in the healing process and even result in death. Thus, there is a need to simulate the physiological progression of an infection so that medical trainees are better equipped to respond to a real skin wound/infection. Through UW Medicine’s Center for Research in Education and Simulation Technologies (CREST) lab, the dynamic tissue wound modeling and infection simulation project aims to meet this need. Motivation for this research project is rooted in the lack of acceptable physical simulation models despite the educational benefit they provide. The goal of this research project is to engineer high fidelity models of skin wounds and infections that dynamically alter their appearance to create a more realistic simulation for the trainer/trainee. My specific involvement is to create a model of a skin abscess that not only simulates an infection but, when given correct treatment, changes its physiology to reflect said treatment.

Europium (Eu) is a redox-sensitive rare earth element (REE). Eu stable isotopes are promising tracers across different scientific domains, giving quantitative insight to the processes where Eu anomalies are present. Studies on Eu isotopes remain scarce as the chemical separation of Eu from other REEs is challenging due to their geochemical similarities, as well as low concentration of Eu in standard geological materials . Recent development of a high-yield (99.4%) and low blanks (<20 pg, Wu et al., 2024) Eu purification scheme from geological materials using cation exchange resin and extraction chromatographic resin allows for an effective approach to better characterize Eu isotope compositions in various materials. We aim to investigate this method of purification and instrumental analysis technique to obtain  δ 153/151Eu values with a multicollector-inductively coupled plasma-mass spectrometry (MC-ICPMS) instrument. To achieve this, we will replicate the purification protocol established by Wu et al. (2024) with synthetic solutions and digested geological reference materials (GRMs), monitoring the relative intensity of Eu and other matrix elements. We collect pre- and postcut fractions of samples to determine the Eu yields and potential contamination from other elements using MC-ICPMS. To correct instrumental mass bias, Wu et al. (2024) used combined standard-sample-bracketing-internal-normalization method, with internal normalization using Nd and standard reference material NIST 3117a as the bracketing standard. Building on the protocol by Wu et al. (2024), we will additionally investigate the effect of column geometry, acid molarity, as well as instrumental analysis without element doping on yield and precision. The validation of the method used for accurate and precise Eu isotope analysis allows for increased applications of Eu isotope geochemistry.

Women with inflammatory bowel disease (IBD) report changes in symptoms due meses and hormonal contraception. However, research on the impacts of menopause on IBD symptoms and progression in women is limited. We systematically reviewed existing literature to describe the impact of menopause, menopause transition, and hormone replacement therapy (HRT) on IBD activity, symptoms severity, and progression. Our search strategy included terms related to menopause and IBD. PubMed, CINAHL, PsycINFO, Embase, and Web of Science were searched. Two reviewers screened all records. Findings were reported using narrative synthesis. Out of 1568 identified records, we reviewed 107 full text reports and included 14 studies (5 cohort, 3 case-control, 5 cross-sectional). IBD participant sample sizes ranged from 37 to 1367. Five studies examined the relationship between menopause/menopause symptoms and disease activity, with four reporting no relationship and one reporting more bothersome menopause symptoms in women with active IBD, compared to those in remission. Seven studies examined the impact of HRT on IBD risk or symptoms: HRT associated with increased risk of IBD (n=2), no change in IBD symptoms (n=3), and improvement of IBD symptoms (n=2). Five studies examined menopause onset age for IBD patients: earlier menopause onset in IBD participants compared to age-matched controls (n=4), no difference in menopause onset (n=1). Few studies have examined the effects of menopause, menopause transition, or HRT among IBD patients. Inconclusive results were found for the relationship between menopause and HRT and IBD progression, symptoms, and risk. Some evidence suggests that women with IBD may have an earlier onset of menopause compared to controls. However, there is a need for continued research on the relationship between IBD disease activity and menopause symptoms to create tailored interventions to improve women’s health in IBD across the lifespan.

Tumor cell survival and recurrence remain a leading cause of death among cancer patients, and it is likely that the residual tumor cells that form the secondary tumor have distinct phenotypes from the primary tumor. The transcription factor NRF2 is thought to play a role in tumorigenesis, metabolic reprogramming, and recurrence in breast cancer. Emerging evidence suggests that NRF2 also intersects with the circadian rhythm, the 24-hour oscillatory clock present in all cells. My project investigates how NRF2 interacts with circadian rhythm genes, and how this interaction affects cancer cell growth. Mouse cell lines NMuMG, EMT6, 66Cl4, and 4T1 were cultured, treated with dexamethasone for synchronization of cellular clock, and harvested over three days. Cell pellets were collected every eight hours after synchronization, for a total of seven timepoints across 48 hours. I performed RNA extraction, cDNA synthesis, and RT-qPCR to analyze gene expression of  NRF2 (Nfe2l2), NRF2 target genes (Nqo1, Slc7a11, G6pdx, Gpx2, Txn1), and circadian rhythm genes (Bmal1, Clock, Per2, Cry1, Per1, Nr1d1) at each timepoint. 66Cl4 cells were further used to perform a CRISPR knockout screen for NRF2 target genes, to investigate which genes are essential for tumor cell viability. I cultured and infected cells with Cas-9 enzyme and sgRNA corresponding to 30 NRF2 targets using lentivirus, then allowed them to proliferate to 14 population doublings over the course of the screen. After the screen had completed, cells were sent for genomic sequencing to identify hit genes. Though these experiments are ongoing, we aim to identify 4-5 hit genes through the screen to direct future research on how NRF2 promotes tumor cell survival and proliferation. My data on NRF2 and circadian clock will also shed light on the intricate role of NRF2 in the cell, and open the door for new therapeutic targets.

In healthy cells, NRF2 is an essential transcription factor for regulating oxidative stress. However, when constitutively activated in cancer cells, it can lead to tumor cell proliferation and metabolic rewiring. When NRF2 is activated, it increases cysteine consumption in the cells through increased expression of the SLC7A11 cystine/glutamate antiporter. We discovered a dose dependent decrease in proliferation when exposed to higher cystine concentrations, unique to cells with NRF2 activation. To understand the kinetics of this proliferation defect, I am developing a tool to visualize and track cell proliferation using a live-cell imager. I will first genetically encode Nuclear Red Fluorescent Protein (NucRFP) into our NRF2-activated cells, using single-cell cloning and flow cytometry to isolate and establish clonal populations that stably express NucRFP. Then, I will use the live-cell imager to incubate cells with NucRFP expression, titrating different concentrations of cystine. Stable NucRFP expression will allow me to quantify cell growth overtime in different concentrations of cystine media to better understand cell growth. This research will generate insights into the consequences of cystine stress that inform the development of targeted treatments for NRF2 activation in cancer cells.

Developmental language disorder (DLD) is a prevalent lifelong communication disorder that encompasses challenges in learning, understanding, and using language not attributed to other bodily or environmental conditions. It is heritable, but its exact cause is unknown. Understanding why a specific population has language difficulties is essential to clinical communication support. This research aimed to establish a protocol for using a novel method of neuroimaging, magnetic resonance spectroscopy (MRspec), to investigate the brains of adults with DLD. We used MRspec to measure the neurotransmitter levels in regions associated with language guided by existing functional and structural findings about the DLD brain. Adult participants were recruited via survey and identified using the Fidler test. We scanned the head of the caudate nucleus and the inferior frontal gyrus in both hemispheres. I identified metabolites in those regions and am testing their possible language skill correlations. We expect, even with minimal data, to find lower concentrations of choline and glutamate and elevated concentrations of GABA in individuals with DLD compared to TD participants. Additionally, because choline chloride is linked to memory and poorer verbal and nonverbal working memory is associated with DLD, we anticipate a lower level in the caudate head. GABA may be at a higher level because it is inhibitory, which means it slows down messages in the nervous system, which may lead to difficulty processing and producing language. Inversely, we expect lower levels of glutamate as an excitatory neurotransmitter. I selected our software, TARQUIN, for processing and conducted analyses on MR data throughout the project. Ongoing analysis includes a visual reference and quantitative data to compare between participants. This study is the baseline for future research exploring neurotransmitters in adult individuals with DLD. Our results help better understand why specific language difficulties exist and how clinicians can help.

Dense-core vesicles are membrane-bound structures that carry neuromodulators such as insulin, dopamine, and serotonin. The peptides within dense-core vesicles are initially larger precursor proteins that undergo enzymatic processing to achieve their functional forms. During the defecation motor program in Caenorhabditis elegans, dense-core vesicles released from the intestine harbor neuropeptides that trigger neurons which activate enteric muscles, promoting the act of defecation. Failure of certain proneuropeptides to mature into neuropeptides results in decreased frequency of defecations. CPD-1, a conserved transmembrane carboxypeptidase, is a poorly understood processing enzyme that affects the defecation motor program. I built on our knowledge of EGL-21, another carboxypeptidase known to process neuropeptides and peptide hormones, to better understand CPD-1’s function. I show here that these two carboxypeptidases, EGL-21 and CPD-1, process neuropeptides necessary for successful defecation patterns. Mutants lacking egl-21 had decreased defecation frequency while worms lacking both egl-21 and cpd-1 had an even lower defecation frequency. Additionally, my results show that CPD-1 is expressed in intestinal cells and can compensate for EGL-21’s function. Finally, I am conducting experiments to determine whether one of CPD-1’s targets is NLP-40, an important neuro-like peptide released from the intestine that regulates defecation. These results contribute to our broader knowledge of peptide processing in dense-core vesicles.

Before a child says their first word, they begin to produce and practice sounds they hear. Early vocalizations play a crucial role in speech development and language acquisition. However, most research on infant vocalizations focuses on children in Western, industrialized societies. This study contributes to the growing body of literature on diverse linguistic environments, specifically examining emergent sounds in the Panãra community, an Indigenous group in the Brazilian Amazon with approximately 700 speakers. Ten infants aged 2-21 months wore recording devices that collected a recording of their language environment over a day. Alongside shared ethnographic observations, I manually annotated selected 30-second audio segments for a fine-grained analysis of child vocalizations. I am currently analyzing the frequency and types of child vocalizations (i.e. vocal play, canonical babbling, variegated babbling) in infants' speech, and I plan to explore how these vocalizations may differ across the age range studied. I predict that child vocalizations will become more complex with increasing age, following pre-speech vocal development stages broadly found across cultures. My findings will contribute to a broader understanding of how language learning varies across cultural settings, vocalization stages, and the role of the environment to language development. 

The obligate intracellular bacterium Chlamydia trachomatis is one of the leading causes of sexually transmitted bacterial infections. Despite its great prevalence and systemic impact on women's reproductive health, no vaccine has been developed. As an obligate intracellular parasite, Chlamydia trachomatis infection occurs within a host-derived vacuole, and Chlamydia have evolved numerous pathways for evading cellular immune defenses. Recent work has highlighted a mechanism through which intracellular Chlamydia interferes with a cell-intrinsic, interferon-gamma (IFN_γ) activated pathway. Our lab discovered a secreted CT virulence factor (GarD) that is important of preventing the IFN_γ -dependent recruitment of ubiquitin to CT-containing vacuoles, and we hypothesize that a gene of unknown function (ct134) immediately upstream of garD may also play a role in this immune evasion pathway. In this project, we used a new genetic system to produce a double knockout mutant for these genes, and we investigated in a cell culture model the fitness and susceptibility of mutants in cell stimulated with human IFN_γ. We expect this work to either define a broader role of this gene locus in mediating chlamydial anti-IFN_γ defenses. In addition, we generated a homologous double knockout lesion in the mouse-tropic pathogen Chlamydia muridarum, and we hypothesize that the C. muridarum homologs of ct134 and garD fulfill this phenotype will support future studies focused on investigating the in vivo role of these genes in Chlamydial infection and virulence in the upper genital tracts of infected female mice.

Brain cells depend on the extracellular matrix (ECM) for structural and functional support as well as sequestration and transport of key ions and neurotransmitters. Structural and compositional changes to the ECM occur in development and in response to injury and disease. Probing ECM structure and composition in real-time in a dynamic living brain would enhance our understanding of the ECM changes that drive disease. In our work, we use organotypic whole-hemisphere (OWH) brain slices to study the interaction between brain parenchymal cells and the ECM. We have applied multiple-particle tracking (MPT), an imaging technique that tracks movement of nanoscale probes with sub-micron resolution, to OWH slices exposed to different stimuli, including oxygen-glucose deprivation (OGD) and mitochondrial dysfunction by rotenone (ROT) exposure.  Our MPT data confirmed that ECM microstructure changes in a time and stimuli-dependent manner and this was associated with changes in cellular composition and morphology. In this study, we measured changes in expression of ECM transcripts using Reverse Transcription quantitative Polymerase Chain Reaction (RT-qPCR) of RNA isolated from OWH brain slices exposed to OGD and ROT. After exposure to 30 minutes of OGD or treated with 50 nM ROT, OWH slices were preserved at 2h and 24h in RNALater buffer for RNA isolation. The 2h time point aligns with the end of the MPT experimental window. Healthy unexposed OWH slices were controls. We measured expression of genes associated with ECM composition and remodeling including tenascin-R, aggrecan, neurocan, MMP9, and TIMP1; markers associated with cellular activation including Ki67, Cd45, Cd11B, and GFAP; inflammation markers including IL-1β, IL-4, IL-6, IL-9, and IL-10; and cell death markers including iNOS, nNOS, TNF-α, and Casp-3. Our results provide a quantitative measure of ECM composition that can be integrated with our MPT and imaging data to better define microstructural dynamics in the stimuli-exposed brain.

The heart's primary function is to pump blood to supply oxygen and nutrients to the body. The biomechanical principles of the heart are determined by specializations at the organ, tissue, cellular, and molecular levels. Little is known about how these specializations have adapted to sustain high heart rates in animals with extreme biology, as is the case of the hummingbird, whose heart rate above 1000 bpm makes it the endotherm with the highest heart rate observed in nature. We hypothesize that the hummingbird heart has evolved several adaptations at all the abovementioned levels to i) generate fast firing rates, ii) optimize electrical-contraction coupling, and iii) sustain fast contraction-relaxation cycles. Using different histological and imaging approaches, we have started to characterize the architecture of the hummingbird’s heart for the first time in a research lab. To describe the overall dimensions and structure of the hummingbird heart, we generated CT scans and 3D reconstructions of iodine-labeled Calypte anna hummingbird hearts. To characterize the organization of the tissue, we present data using hematoxylin-eosin and lectin stainings in fixed paraffin-embedded slices of the hummingbird heart. Our preliminary results showed that hummingbird ventricles have a cell density of 110 cells per 5000 µm2, around 7-fold larger than mouse ventricles. Ventricular cells in the hummingbird are 8-fold smaller with a cross-sectional area of 41 ± 4 µm2. Hummingbird hearts also have a higher capillary density with 18.0 ± 0.6 capillaries per 2500 µm2. Our results provide a foundation for structural and functional characterization of the hummingbird heart at an organ, tissue, and cellular level while opening avenues for further investigation of extreme cardiac physiology.

Cytochrome P450 enzymes (CYPs) are a family of proteins that play an integral part in drug metabolism. An example is CYP3A4, a specialized protein within the CYP family, involved in the oxidation of small drugs and toxins, like cannabinoids, to allow for their removal from the body. Understanding this reaction is important in evaluating how different expression levels of CYP3A4 in different individuals affect the efficiency of drug metabolism. In this project, I studied drug binding to recombinant, purified, CYP3A4 protein. The binding assays of CYP3A4 allow evaluation of the quality of the purified protein. Ultraviolet-visible spectroscopy (UV-Vis) was used to quantify the protein, and spectral binding through drug titration was used to characterize the binding affinities of different substrates. Drug titration enables us to observe the amount of ligand bound to the protein at various concentrations, displayed as a binding curve from which we can determine the spectral binding constant (Ks). The CYP active site contains a heme group. Upon binding, the ligand replaces the water molecule that is originally docked in the active site. This transfer reaction shifts the heme spin state and appears on the UV-Vis spectra as an increasing absorbance at the 380 nm wavelength and a decreasing absorbance at 420 nm. Inhibitors would have the reverse spectrum. In vitro studies with purified protein have several benefits when investigating protein function, such as simplifying the experimental system and reducing the limitations of complicated sample preparations from living organisms. Having a well-defined assay to determine recombinant 3A4 protein quality will contribute to the value of further in vitro activity and pharmacokinetic studies with this protein. 

Advancements in antiretroviral therapy research are leading to longer life expectancy for people living with HIV (PLWH). Aging is a process that happens with every individual, involving changes in the physical and mental state. However, age-associated symptoms typically occur earlier in these individuals as the disease’s chronic inflammation accelerates the aging process, decrementing PLWH’s lifestyles. Some of the symptoms include fatigue, slower walking speeds, and balance problems. Previous studies prove that exercise is a non-pharmacological method used to improve physical function and wellbeing. Exercise performed at a higher intensity is known to enhance the overall health state of PLWH and generate positive effects on cardiovascular health. The aim of the study is to compare the effects of different exercise intensities on the symptom experience of PLWH. The HEALTH Study is an exercise trial conducted by the University of Washington and the University of Colorado for 120 PLWH aged 50 years or older who reports symptoms of aging and have a sedentary lifestyle. After enrollment, HEALTH Study participants are randomized to either a High-Intensity Interval Training or Continuous Moderate Exercise program lasting for 16 weeks. Participants exercise three times a week in a research center while supervised by trainers. During the study, participants complete many assessments to monitor their physical function and fatigue. The outcome for this study utilizes the HIV symptom index score, collected at baseline (week 0) and post-intervention (week 16). This index score is a 20-question survey that assesses the severity of HIV symptoms, categorized by presence and severity ratings. The end goal of the research is to explore how exercise training can change the symptoms occurring in people living and aging with HIV, creating a strategy for more individuals with HIV to live longer and healthier lifestyles.

Surf smelt (Hypomesus pretiosus) are ecologically and culturally important forage fishes that rely on intertidal beach habitat for spawning. However, the combined effects of rising sea level and human modification (e.g. seawalls, bulkheads, riprap) have put this habitat at risk of coastal squeezing, which could reduce available spawning areas along Puget Sound. This research aims to assess the vulnerability of surf smelt spawning beaches to climate change by combining field data collection with quantitative analysis. We evaluated existing risk assessment methods, such as the Coastal Vulnerability Index (CVI) to determine its applicability to Puget Sound. Additionally, we conducted beach surveys at productive spawning beaches to characterize the beach morphology. Our morphodynamic analysis included measurements of beach slope, sediment composition, pH, and water table depth from the high tide line to the waterline. Our hypothesis suggests that spawning beaches with a lower slope, smaller sediments, and a shallow water table will be more resilient to climate change impacts. Findings from this study will improve our understanding of climate-driven and anthropogenic threats to intertidal ecosystems and provide insight into habitat resilience, supporting conservation efforts for surf smelt populations.

Cervical spinal cord injuries (SCIs) often result in impaired locomotion and forelimb mobility. Assessed with a forelimb locomotor scale (FLS), previous research demonstrated improved forelimb locomotion with task-specific physical therapy (PT) training following a unilateral 150 kdyne C6 SCI in a rat model. Improvement in locomotion was calculated using a recovery ratio, which measures the difference in FLS scores normalized to the animal’s baseline score. There was a significant improvement in the recovery ratio (3dpi-14wpi) for animals that underwent task-specific PT training (p ≤ 0.0014). The underlying molecular mechanisms behind this improvement are still unclear. A potential explanation for these functional changes is the task-specific PT-induced increase in brain-derived neurotrophic factor (BDNF) targeted at the injury site. Task-specific PT stimulates neurons, microglia, and astrocytes to release BDNF, promoting neuron survival, growth, and synaptic plasticity. These processes are crucial for mediating the effects of cervical SCI trauma. This study investigates whether BDNF expression in the spinal cord varies in rats that underwent task-specific PT training following cervical SCI. PT-trained rats are hypothesized to have increased BDNF within the spinal cord, especially proximal to the injury site, which would help mitigate SCI trauma and enhance forelimb locomotion and mobility. To this end, we performed immunohistochemistry staining and quantification of BDNF in the spinal cord and compared it across three groups: PT + SCI, SCI-only, and Sham. The expression levels of BDNF in neuronal cells, astrocytes, and microglia were then correlated with their FLS scores to determine if there was a positive correlation between BDNF expression and forelimb locomotion. This would indicate that BDNF supports synaptic plasticity and recovery from SCI-induced trauma.

Language mixing occurs when words and grammar from two languages combine in the same sentence, demonstrating how bilingual speakers creatively use their language skills. Understanding how bilingual children mix languages provides insight into their thinking and navigation between languages. While prior research has focused on noun mixing, fewer studies have examined verbs. Thus, this study aims to investigate how English-speaking bilingual children (ages 4-7) evaluate two verb-mixing strategies: direct insertion (using a verb directly from one language) and indirect insertion (changing the verb to match the grammar of the other language). Participants will be assigned to one of two conditions: one where both characters mix languages and another where only one character does. This allows us to examine how interlocutor context (the conversational partner's language use) and age influence children's judgments. Participants will be introduced to pairs of cartoon aliens having conversations and told that the aliens just arrived on Earth and are learning English; therefore, they may mix their own language with English words. After watching each conversation, children will rate how well the alien spoke using a scale of expressive faces. We hypothesize that children’s preferences for language mixing will be shaped by interlocutor context and age. We predict that younger children will rate direct insertion more positively, while older children will rate both strategies similarly. However, as older children may be more aware of social dynamics, they will rate strategies more negatively when only one character language mixes compared to both. This manipulation allows us to explore how children's developing social awareness influences their judgments of language mixing and expectations of conversational norms. These findings will provide new insights into how bilingual children think about and use their languages as they grow, as well as how language is tied to communication and social connections. 

The electron transfer energy and the voltage of solar cells can be changed by tuning the energy band gap of photovoltaic materials. In lead perovskites, this is mainly controlled by the particular halides around lead atoms, with the best materials often having mixed halide compositions. Iodide substitution and identification in lead chloride APOSS perovskites to generate mixed-halide perovskites for control of light absorption in solar cells is creatively proposed in this project. In my previous work, I investigated new methods of bromide substitution and found that highly controlled substitution was achieved by heating copper chloride APOSS perovskites, (APOSS)[Cu₄Cl₁₆ ], in the presence of more stable organic bromides as normal methods, which includes highly reactive liquid bromine or trimethylsilyl bromide. Based on this preliminary research, proper experimental procedure and aims are put forward in this project as follows: lead chloride APOSS perovskite is first synthesized according to the synthesis method of copper chloride perovskite, which has already been published. After that, the iodide substitution is performed by exposing (APOSS) [Pb₄Cl₁₆ ] to a solution of relatively stable organic iodide reagents like carbon tetraiodide or diiodoethane at different temperature and concentration. In order to get more understanding about the substitution process on atom level, NMR and Gas Chromatography are performed to identify where the substituted chlorine atoms go.

Little is known about how male and female Pieris rapae behave during territorial behaviors, making this project particularly significant. Through our previous experiment, we have uncovered intriguing insights into the unique behaviors exhibited by male P. rapae when interacting with pseudo-females (males in disguise). Our observations suggest a complex interplay between competitive instincts and courtship behaviors. Specifically, male Pieris rapae display distinct responses when encountering pseudo-females, indicating a potential recognition of the sex of the interacting butterfly. This recognition may trigger competitive behaviors like a territorial move if perceived as a rival male or foster a display of courtship if perceived as a potential mate. Additionally, we aim to study how female P. rapae interact with other females to determine if there are any behavioral differences in these interactions. By studying the intricacies of both male and female courtship and/or territorial behaviors in P. rapae, this project seeks a deeper understanding of the factors shaping mating systems and reproductive success in this species and beyond.

Humans have limited ability to regenerate tissue lost from traumatic injury or amputation. Growth factors have the potential to induce the regrowth of damaged tissues, such as bones and joints in a mouse model of digit amputation. However, to achieve this in a clinical setting, a minimally invasive drug delivery system that permits the controlled release of multiple growth factors is needed. To this end, we are using micron-sized, bioactive hydrogels (microgels) to investigate the spatiotemporal release of growth factors in the presence of an external magnet, which helps direct microgels to the wound site. Optimizing the drug release profile requires an understanding of the biophysical properties of the microgels and their surrounding tissue. We hypothesize that the magnetic force needed to translocate a microgel is directly related to its size and stiffness and to the tissue microenvironment’s pore size and stiffness. Meanwhile, the release rate for growth factors is expected to be inversely related to microgel diameter and stiffness. To investigate these hypotheses in silico, we developed two computational finite element (FE) models. First, we used COMSOL Multiphysics to characterize the magnetic force exerted on a microgel by a permanent magnet. Magnetic forces were measured by varying the distances between the microgel and magnet. Second, we used FEBio to model microgel movement through tissue, taking into account how microgel and tissue mechanical properties (e.g., Young’s modulus, Poisson’s ratio) influence translocation. Future work will compare simulation results to in vitro data of microgel translocation and protein release. By using FE analysis to model biomaterial behavior, we will be able to better predict drug dosing at the wound site to induce musculoskeletal tissue regeneration.

Certain species exhibit the remarkable ability to regenerate their appendages, a process that requires complex metabolic pathways to facilitate the cellular proliferation needed to regrow tissue. Among these species, Xenopus tropicalis, the Tropical Clawed Frog, serves as a great model for regeneration studies because of its transient regenerative capacity. X. tropicalis tadpoles exhibit the ability to regenerate their tails, but this capability is gradually lost after metamorphosis. This unique characteristic allows for direct comparison of regenerative and non-regenerative processes within the same species. Previous work from the Wills lab indicates that genes encoding the enzymes of the pentose phosphate pathway (PPP), which generates precursors of biosynthetic molecules such as nucleotides and lipids, are highly expressed during tadpole tail regeneration. Although tail regeneration has been well studied, the variation in hind limb regenerative capacity across developmental stages and the metabolic pathways involved remains unclear. Hence, I performed a live imaging study to determine the developmental progression of hind limbs and assess their regenerative potential. This data suggests a decrease in success as the tadpole gets older. Immunohistochemistry staining of mitotic cells in developing limbs shows that proliferating cells decline as regeneration competency decreases. I hypothesized that genes for the PPP enzymes would also be expressed during successful limb regeneration, which was confirmed by in-situ hybridization. Together, these findings indicate that the regenerative capacity in limbs of X. tropicalis is stage-dependent and that PPP genes are expressed during all stages of regenerative capacity. This provides insights into the role of metabolic reprogramming in appendage regeneration, with the potential for translating it into non-regenerative species like mammals.

In their books Pihkal and Tihkal, Dr. Alexander and Ann Shulgin describe their experiences ingesting 234 psychoactive compounds, most of them newly synthesized by Dr. Shulgin. The goal of this project is to use natural language processing techniques to map the semantic space of the Shulgins’ qualitative comments and determine what commonalities, if any, exist between compounds of similar molecular structures. I first created a TF-IDF matrix to determine the importance of each word for each compound. I then applied three clustering techniques (k-means, DBSCAN, and affinity propagation) to group compounds based on their meaning and used UMAP after each technique to graph the clusters in two dimensions. Unfortunately, despite attempting different combinations of pre/post processing and hyperparameter tuning, each method resulted in only weakly associated clusters. My next analytical method is using Sentence-BERT modeling to compare the semantic meanings at the sentence level. Since sentences hold more meaning than single words, I anticipate that this technique will differentiate the compounds to a greater extent, therefore leading to more visibly divided clusters. I also have the compounds clustered by similarity in molecular structure and determined the most common words associated within each group. By quantifying the subjective experiences of these psychoactive compounds and mapping them to molecular structures, this knowledge could allow us to synthesize molecules to obtain a desired effect on a patient’s consciousness. This could in turn aid in synthesizing new medications to treat mental health disorders.

Malaria is one of the most prevalent diseases worldwide, with nearly half of the world residing in regions at risk of transmission. It is commonly spread to humans through the bite of a female Anopheles mosquito infected with Plasmodium spp. parasites. When feeding, mosquitoes ingest biogenic amines at concentrations found in the blood of the host. Adult patients with severe malaria have altered concentrations of serotonin and histamine in their blood compared to healthy individuals. Previous work showed the ingestion of serotonin and/or histamine concentrations associated with adult patients with severe malaria influenced key mosquito behaviors, such as the tendency to take a second blood meal, flight behavior, and visual object inspection—traits that are related to the transmission of malaria. However, the mechanisms by which serotonin and histamine modulate mosquito behavior remain unclear. Given the known involvement of these biogenic amines in physiological processes, we hypothesize that the ingestion of varying serotonin and histamine concentrations in Anopheles stephensi mosquitoes will alter their distribution across tissues. Mosquitoes are fed with deuterated serotonin and histamine at levels associated with patients with severe malaria versus healthy individuals. These deuterated compounds serve as tracers to distinguish endogenous (natural) from exogenous (ingested) serotonin and histamine in the tissue. The mosquitoes are dissected to retrieve the head as a proxy for the brain, the midgut, and sensory appendages including maxillary palps, antennae, legs, and proboscis. All tissue samples are extracted and analyzed via liquid chromatography-mass spectrometry (LC-MS) to distinguish and quantify deuterated and non-deuterated serotonin and histamine. By viewing all aforementioned tissue regions and comparing endogenous versus exogenous biogenic amine levels in the samples, we hope to understand the modulation of biogenic amine distribution in An. stephensi tissue and offer insights into possible connections between neuromodulators and behavior in the mosquitoes.

The kappa opioid receptor (KOR) system is a promising target for substance use disorder, yet its role in long-term addiction regulation remains unclear. This project investigates how selective activation of the KOR/c-Jun N-terminal kinase (JNK) pathway activates the enzyme peroxiredoxin VI (PRDX6), triggering the release of reactive oxygen species (ROS) and resulting in long-lasting KOR inactivation distinct from its canonical Gαi pathway. I investigate whether JWT-101, a repurposed ligand, acts as a long-term KOR antagonist by inducing JNK-mediated ROS production, potentially offering new therapeutic avenues. KOR-Cre mice were injected in the prefrontal cortex with oROS-Gr, a fluorescent tag that senses ROS concentrations, for selective expression in KOR-positive neurons. Using high-resolution two-photon microscopy, I monitored ROS levels in live brain slices after 2 weeks from these mice. Bath application of JWT-101 led to increased fluorescence, indicating elevated ROS production and thus, JNK activation. To confirm JNK path specificity, I applied MJ33, an inhibitor of PRDX6. Fluorescence was reduced following MJ33 treatment, indicating that JWT-101 acts in a KOR/JNK manner. These findings suggest that JWT-101 induces KOR inactivation through ROS-mediated signaling. This research provides insights into KOR/JNK signaling in substance use disorders, with implications for developing targeted therapies for recovery and relapse prevention.

Safe drinking water in schools is crucial for children's safety and academic performance. While Seattle Public Schools has tested for some contaminants, such as lead, the district's responsibility for ion-specific testing for anions such as phosphate, bromide, nitrite, nitrate, chloride, sulfate, and sulfite is less clear. High concentrations of anions pose potential health risks, including reduced oxygen in red blood cells, higher risks of tumors in children, and diarrhea. This research investigated the anion concentration in water fountains across seven high schools in the Seattle Public Schools. Twenty-one water samples were collected from seven public high schools and analyzed for anion concentration using ion chromatography. Results were compared to the Environmental Protection Agency's (EPA) maximum contaminant level (MCL). All test samples were below the EPA's MCL. These results suggest that the drinking water in these schools does not pose potential risks to students from anion contamination. While regular monitoring and management are still necessary to maintain safe drinking water, Seattle Public Schools have met the safety requirements for anion concentration in their drinking water. 

This investigation is based on the famous intermediate axis theorem, often called the tennis racket theorem. This theorem describes why objects with three distinct moments of inertia, around three different axes, have an unstable rotation around the intermediate axis (the axis with the intermediate moment of inertia) while the axes that have the largest and smallest moment of inertia have a stable rotation. This phenomenon can be observed in rotations of everyday objects like tennis rackets and phones. By videotaping rotations of different objects with three distinct moments of inertia around three axes, and visually examining the intermediate axis, one can notice the instability of the intermediate axis compared to the stability of rotations about the other two axes. We mathematically analyzed the motion around three axes using Euler’s equations of rotations, the equations governing the dynamics of a rigid body undergoing rotational motion. We solved the differential equations demonstrating the instability around the axis with the intermediate moment of inertia. This behavior was also simulated in MATLAB using Euler’s equations of rotations. Our graphs of velocity as a function of time for rotation around the three axes, demonstrated and justified the visual observations from the videos. These experimental and computational approaches can lead students to a comprehensive understanding of the intermediate axis theorem.

All mammals experience a slowdown of cardiac pacemaker rate with aging. The main mechanisms to explain that phenomenon are related to alterations in the ionic currents that underlie the diastolic depolarization phase of the action potential. We have previously reported that pacemaker cells from old mice have reduced L-type calcium currents. We further explore the mechanism underlying that reduction, testing cell hypertrophy and alteration in the scaffolding of L-type calcium channels as potential mechanisms. To test for cell hypertrophy, we combined immunostaining and high-resolution imaging to map the HCN4-positive pacemaker region of isolated upper heart explants from young and old mice. We compared cell length, width, and area between young and old cells. We also determined these morphological parameters in HCN4-positive enzymatically dissociated pacemaker cells. We found no significant difference in cell dimensions or area between ages, ruling out hypertrophy as a potential mechanism. We used mass spectrometry to identify expression changes in scaffolding proteins essential for calcium channel organization at the plasma membrane. Through this approach, we identified a large reduction of caveolin 3 as a possible mechanism. Caveolin is a protein essential to forming signaling microdomains between calcium channels and other proteins. Using western blotting, we confirmed a 50% reduction of caveolin 3 in isolated pacemaker tissues from old animals. Using proximity ligation assay and super-resolution microscopy, we showed altered recruitment of L-type calcium channels into caveolae. Our findings suggest that the age-associated decrease of L-type calcium current is caused by a reduced insertion of these channels in caveolae.

King County’s population growth over the past two decades has significantly shifted area demographics. The influx of a large volume of highly-paid residents has led to a housing shortage, driven up housing costs and area median income, and displaced long-time residents and businesses — a process known as gentrification. Residential gentrification often coincides with commercial gentrification, where local, minority-owned businesses are replaced by high-priced specialty stores or chains. Commercial gentrification impacts residents of the surrounding neighborhood and people countywide who rely on local businesses for socialization and community building. Despite its impacts, business displacement is understudied compared to the residential effects of gentrification. The 2024 Population Health Initative’s Applied Research Fellowship project sought to close this gap and examine the scope of commercial gentrification in King County with an analysis of business-level data from Data Axle, a data analytics firm, to quantify business openings and closures by size and industry from 1997 to 2023. This research examines which of King County’s communities and industries appear to be most impacted by recent commercial gentrification. To better understand spatial trends in businesses, we used King County’s 61 Health Reporting Areas (HRAs) and also focused on unincorporated King County as a whole. For our industry-level analysis, we identified three essential services: grocery stores, pharmacies, child care providers, and four categories of third places: retail, entertainment, eating and drinking, and services establishments. Our research showed the limitations to using this data to calculate King County’s top employers by business size. Moreover, despite significant population growth in King County since 1997, grocery store and child care provider numbers remained relatively stable, with the number of pharmacies increasing; despite 8 of 61 HRAs having two or fewer pharmacies. Third place services, eating and drinking, and entertainment establishments increased since 1997, while retail establishments decreased

Orientation Patch Count (OPC) is a method of research used by biologists and paleontologists to analyze the complexity of an animal’s feeding surface while inferring their diets; diet and tooth complexity have evolved in concert with one another, which is why this method has been used on reptilian and mammalian (denticular) species. However, it has not been extensively tested on edentulous (toothless) clades. Therefore, my research examines the OPC of an edentulous species - specifically the endangered Madagascar big-headed turtle (Erymnochelys madagascariensis) using  three CT-scanned specimens. Three primary programs were used in order to analyze the quantitative morphometricsof the species: Slicer for processing and editing CT scans from the University of Washington’s Friday Harbor Lab, MeshLab for editing 3D models, and RStudio for data analysis. This research contributes to a broader study on turtle species led by paleontologist Brenlee Shipps, who will apply these findings to extinct beaked clades, specifically dicynodonts.

Low-income communities are often disproportionately exposed to air pollution. High concentrations of pollutants such as particulate matter under 2.5 µm (PM2.5) and human aerosol emissions, including carbon dioxide (CO2), have been linked to various health and cognitive issues. Performance arts, including singing and playing instruments, produce human aerosol emissions and are considered high risk for airborne disease transmission. Our study evaluated the accumulation of CO2 and PM2.5 in high-risk environments (band classrooms) in low-income public schools in King County (WA), to determine whether there is a correlation between accumulation rates and Title 1 designation. Title 1 designation, which provides government funding for schools with a high percentage of students from low-income households, was used to represent low-income communities. We compared four middle schools that qualified for Title 1 designation to one school that did not qualify. Concentrations of CO2 and PM2.5 were measured using the Aranet4 Home CO2 sensor and a PurpleAir Classic sensor for PM2.5. We took a baseline measurement of both concentrations when the classroom was unoccupied. We then analyzed the change in concentration rates when classes were in session, taking into account classroom size and number of students. Our data showed concentrations above recommended levels at 1,370 ppm (parts per million) for CO2 in one of the Title 1 schools suggesting that Title 1 schools may be at greater risk of poor indoor air quality, though additional studies are needed. This additional exposure to pollutants and human aerosol emissions in already high-risk environments like band classrooms may lead to increased airborne disease transmission, highlighting the disparity in healthy learning environments. These classrooms require additional measures to maintain healthy concentrations of CO2 and PM2.5 to reduce the risk of airborne disease transmission particularly in low-income communities. 

Soluble peptides from the HIV-1 (Human Immunodeficiency Virus) envelope heptad repeat-2 domain, known as HIV fusion inhibitors, can inhibit viral entry by blocking formation of the gp41 6-helix bundle required for membrane fusion and infection. However, this treatment is unfeasible because it requires twice-daily subcutaneous injections with high risk and cost. The Lieber Lab is working to engineer hematopoietic stem and progenitor cells (HSPCs) to express HIV fusion inhibitors in vivo, potentially offering sustained protection against HIV. In my work I used SIVmac239 (Simian Immunodeficiency Virus) challenged Rhesus Macaques sera and developed viremia (from another study by Lieber lab). My goal was to test whether anti-gp41 antibodies from these animals cross-reacted with synthetic gp41-derived fusion inhibitor peptides, specifically C46-v2o, C34-SFT, and Enfuvirtide(T20). If antibodies interfered with fusion inhibitors, their therapeutic effect would be severely compromised. In my project, I developed an Enzyme-Linked Immunosorbent Assay (ELISA) to measure antibody titers. These peptides were coated, then blocked with 3% bovine serum albumin, and incubated with diluted Macaque serum to allow antibody binding. I used anti-monkey immunoglobulin-G conjugated with Horseradish Peroxidase for detection of antibody binding. I optimized the serum dilution to 1:200 to reduce background signal and concluded SIV-challenged Macaques had detectable antibody levels against C46-v2o and C34-SFT, but not T20. Ongoing work will determine more detailed IC50 antibody titers in serum samples. Notably, animals with high viral loads exhibited higher levels of antibodies against HIV fusion inhibitors. T20 is a promising candidate for sustained HIV inhibition, as no detectable antibodies means it’s less susceptible to pre-existing immune responses. These findings provide valuable insights into how fusion inhibitors interact with the immune system and help refine strategies for HSPC-based HIV therapies, bringing us closer to a long-term, self-sustaining approach for HIV prevention. 
 

Neotrypaea californiensis, or burrowing shrimp, is a native pest for oyster growers in Washington. The shrimp create networks of interconnected burrows that displace and liquify sediment, suffocating oysters. The pesticide carbaryl was used for decades to effectively control shrimp populations. More recently, the Environmental Protection Agency (EPA) deemed carbaryl an environmental hazard, leading to a vital need for a shrimp control method with minimal non-target effects. Very little is known of the physiology of shrimp that allows them to tolerate environmental extremes. My study aims to understand the tolerance of Netotrypaea californiensis to high concentrations of salts that challenge their ability to regulate internal ions, pH, and metabolic wastes. Using a laboratory-based system whereby shrimp burrow in 6 inch deep sediment in seawater, my research findings revealed that the addition of high concentrations of sodium bicarbonate (NaHCO₃) caused shrimp mortality while high concentrations of regular sea salts did not. This suggested that an ionic imbalance—high levels of sodium and reduced levels of chloride—may be causing shrimp death. To investigate, I collected the gills, a critical organ that regulates systemic ion levels, of shrimp after NaHCO₃ exposure and quantified the abundance and localization of key ion pumps using Western blotting, immunohistochemistry and confocal microscopy. I found a significantly higher expression of Na⁺/K⁺ pumps in the gills with NaHCO₃ exposure, suggesting a major ion-regulatory disturbance caused by NaHCO₃. These data will expand our understanding of how salts that cause ionic imbalance in seawater can disrupt the internal levels of ions that are critical for most biological processes. Findings will be disseminated to Washington oyster growers to aid in the management of their crop.

The Western Honey Bee (Apis mellifera) is responsible for approximately 80% of agricultural pollination in the United States, making them an incredibly important resource. The Varroa mite (Varroa destructor), is one of the biggest threats to honey bee populations worldwide. The Honey Bee Research Team at Green River College has investigated these mite populations in the Puget Sound Region for the past decade. In the spring of 2024, I joined the Research Team and was taught the processes of determining the mite infection percentage in honey bee hives using the sugar shake method. If there were more than seven mites on a test sample of one hundred bees, it was time for treatment of the hive. If there was a 7% infection (7 mites on 100 bees) or more, 70.6% of the colonies died; if less than 7% infection, 96% of the colonies survived. While this data mimics data in the rest of the country, we report here a more detailed understanding of mite populations and why it is important to know when it is best to perform management and treatment. Having proper management practices is essential for the future of our honey bee populations as well as changing beekeeping culture. This research is still ongoing and has led to the question of what the most effective way for honey bees to survive a mite infection and survive over the winter. As research continues, new methods of treatment will be developed and tested.

Erbium(III) doped cerium oxide nanocrystals are promising candidates for spin qubits in quantum computing and information science applications. Our goal is to tune the synthesis and composition of Er-doped CeO2 nanocrystals for monodispersity and desirable optical properties, particularly the intensity and lifetime of near-infrared emission features unique to Er3+. We optimized previously reported methods for making Er-doped CeO2 by altering the concentration of erbium, presence of water, and the amount of time allowed for the reaction to progress. These nanocrystals were then analyzed using several techniques, including transmission electron microscopy, X-ray diffraction, and photoluminescence spectroscopy. Our results indicated that by omitting water from the synthesis, the sizes of the nanoparticles decreased significantly. Additionally, smaller concentration of erbium(III) dopant in the nanoparticles correlated with a longer lifetime of photoluminescence intensity.

I investigate whether combining ultra-wideband (UWB) radar with inertial measurement units (IMUs) can produce more robust human pose estimations than using IMUs alone. UWB radar yields precise distance measurements, offering positional data that standard IMUs—sensitive mainly to angular velocity and acceleration—cannot capture. To test this approach, I built an embedded system that integrates a UWB radar module with wearable IMUs, then designed a user study involving everyday movements and targeted exercises performed by a small group of participants. This setup allowed me to collect a diverse dataset under realistic conditions. I processed these data using neural network models, including long short-term memory (LSTM) and transformer architectures, to generate accurate joint angles. I then fed those angles into a 3D skeleton reconstruction model. My preliminary findings suggest that the additional distance data from the UWB radar substantially improves tracking accuracy and reduces ambiguity in limb positioning. This enhanced estimation could lead to more realistic virtual reality avatars, improved fitness tracking, and better physical therapy tools. By overseeing the hardware design, data collection, and model development, I actively demonstrate how interdisciplinary methods can advance human-computer interaction through more precise and accessible pose estimation.

Over the years, the relationship between universities and corporations have become more and more intertwined through research and building funding, student opportunities, and company influence on administrators and faculty. My research explores the connections between the University of Washington (UW) and Boeing, a large transnational weapons manufacturer, and the impacts these connections have on research, education, and students' future career prospects. In this project, I ask: how are student’s educational experiences and career opportunities impacted by the university’s close connection to the Boeing company? I am focusing on a potential student to Boeing pipeline–a process for where students are primed to work at Boeing through their educational experiences at UW. I address this question through a variety of methods and sources, including a comprehensive analysis of all publicly available information on UW websites, including individual websites run by UW research labs, interviews with engineering students, Public Records requests, and a review of relevant Critical University Studies literature. My findings indicate that there is significant evidence towards the existence of a student-to-Boeing pipeline at UW. Boeing has given an extensive amount of money to the university, placed employees/affiliates in professorships, and is vastly overrepresented in internship and capstone opportunities available to students through the University of Washington. Furthermore, my research found a correlation between departments with a high amount of funding from Boeing with higher rates of student employment at Boeing after graduation. I argue that the student-to-Boeing pipeline has fundamentally changed the education of UW Engineering students to better fit Boeing’s needs, and it upholds the military-industrial complex. This project contributes to broader debates in critical university studies about the mission of public universities in providing students an unbiased education and universities' role in combating the climate crisis.

Autism Spectrum Disorders (ASD) are a combination of neurological and developmental abnormalities, with 1 in every 36 children diagnosed worldwide. Brain Selective Kinase 2 (BRSK2) is one of the strongest autism-associated genes, with 35 de novo mutations reported to date. Patients harboring BRSK2 variants clinically present with neurodevelopmental disorders, including speech delay, intellectual disability, motor dysfunction, and behavioral abnormalities. Despite its strong ASD association, the molecular functions of BRSK2 and the mechanisms through which it regulates neurodevelopment remain unclear. My project aims to investigate the molecular role of BRSK2 by identifying its localization in the developing hippocampal and cortical neurons. The function of a gene is reliant upon its localization within the cell. To identify the subcellular localization of BRSK2 during early neurodevelopment, I am analyzing the subcellular distribution of BRSK2 in cultured primary embryonic rat neurons at different developmental time points, using immunocytochemistry and confocal microscopy. To delineate the impact of missense mutations in BRSK2 on its localization, I am analyzing the phenotype of cultured hippocampal rat neurons with GFP-tagged engineered constructs harboring the BRSK2 mutants. My analysis found that both hippocampal and cortical neurons display mostly cytoplasmic BRSK2 localization, with a significant association with the subcellular endomembrane as well as the plasma membrane (PM). Interestingly, BRSK2 was also found at the dendritic spines at day in vitro (DIV) 12. We are currently investigating whether any of these missense mutations disrupt inter-organelle communication between the endomembranes and plasma membrane. BRSK2’s localization in the endomembranes could explain disruptions in protein processing, dendritic development, or neuronal polarity linked with the missense mutations that eventually impact neurodevelopment, leading to autism. Discovering BRSK2’s localization will help contribute toward the future development of targeted therapies for ASD caused by the dysfunction of the BRSK2 kinase.

The tongue base is a key structure in respiration and swallowing and morphological and functional adaptations to its volumetric changes are largely unknown. Thus, addressing this gap could enhance the understanding of breathing and swallowing disorders in the enlarged and reduced tongue base. Twelve Yucatan minipigs 8-to-9-month-old (half each sex) were analyzed. Six minipigs received a high-caloric chow pellet to reach a BMI>50 (enlargement group), while the others underwent surgical partial tongue base ablation (reduction group). Five weeks after surgery all minipigs were scanned using magnetic resonance imaging (MRI) synchronized with respiratory cycle gating. Mid-sagittal cross-sectional areas of the velopharyngeal and oropharyngeal airways, and retroglossal space during inspiration and expiration were quantified using ITK-SNAP. The volumes were also calculated using segmentation techniques. These measurements were compared between the enlargement and reduction groups in the inspiratory and expiratory cross-sectional areas to determine differences. Extrapolating from one minipig from the enlarged group observed larger mid-sagittal cross-sectional areas of the interested regions compared to the reduction group. The enlarged minipig observed greater differences in range and larger averages and medians for each cross-sectional volume. The enlargement group also had slower inspiratory and expiratory rates than the reduced group. Observations from one minipig from the reduced group were observed to have smaller cross-sectional areas, medians, and averages for all interested regions. Additionally, the reduced minipig had more frequent respiratory rates. The current analysis of the sagittal views from the obese enlarged tongue base versus the reduced tongue base minipigs revealed larger volumes within the enlarged group. This pattern currently suggests enlarged tongue base minipigs with larger cross-sectional volumes, but less inspiratory and expiratory rates. However, the reduced tongue base minipigs are anticipated to have smaller cross-sectional volumes and more frequent respiratory rates compared to the enlarged group.

Tuberculosis (TB) remains a major global health challenge, causing over a million deaths annually despite being a curable disease. A critical issue is treatment non-adherence, as many patients struggle to complete the required six-month regimen due to a lack of support and access to reliable medical guidance. Improving treatment adherence can significantly increase recovery rates and save lives. This project develops an AI-augmented chatbot powered by GPT-based models to assist Spanish-speaking TB patients. This is done by providing accurate medical guidance, fostering empathy, and enhancing communication between patients and healthcare providers. Integrated into a Human-System Interaction (HSI) interface, the system employs three AI models: a two-step pipeline that classifies messages as informational or emotional to tailor responses appropriately, a few-shot model that generates responses based on examples from prior patient interactions, and a Retrieval-Augmented Generation (RAG) + few-shot model that retrieves relevant medical information from guidelines while maintaining conversational fluency. These models leverage the same underlying technology as ChatGPT, optimizing responses for accuracy, linguistic fluency, and empathy. As part of the research team, I contributed to model development and implementation, ensuring alignment with medical guidelines and human-centered design principles. The chatbot is currently undergoing external evaluation by a multidisciplinary team, including healthcare professionals specializing in TB treatment and AI researchers. Evaluators interact with the chatbot using personas as TB patients, asking medical and support-related questions to assess response quality. They rate the system based on medical accuracy, linguistic fluency, empathy, and other key criteria relevant to patient-provider communication. Insights from this evaluation will guide future refinements, with the goal of improving AI-driven patient support systems in clinical settings.

Chiral molecule sensing has important biochemical applications for detection of disease, as well as cognitive and neurodegenerative disorders. Circular dichroism (CD) has emerged as a powerful spectroscopic tool for probing post-synthetic ligand exchanges of chiral molecules onto originally achiral quantum confined CdS morphologies, manifesting in chirality corresponding to the electronic transitions of the nanocrystals. In this work, we first describe making water soluble quantum dots (QDs) and nanorods (NRs) via ligand exchange with glycine. After this exchange, aqueous chiral thiol solutions are then titrated into glycine capped achiral CdS, and the optical properties are monitored via UV-vis, photo-luminescence (PL), and CD spectroscopies. Preliminary results show we can controllably produce measurable chirality equal to or exceeding previous literature values whilst using orders of magnitude less L-cysteine than previously reported. Moving forward, we intend to correlate growth in CD with changes in PL across a myriad of cysteine derivatives. Additionally, we plan to examine the impact of NR aspect ratio on normalized maximum CD absorption (g-factor).   

With an estimated billion people impacted by malaria, yellow fever, and zika every year, the mosquito has built its reputation as the "World's Deadliest Animal." Mosquitoes have an exquisite sense of smell, widely studied for its role in locating human hosts for blood meals. However, mosquitoes also use their olfactory systems to locate and access sources of plant sugar- an essential food that contributes to longevity and fecundity. In fact, only female mosquitoes feed on human blood, whereas all mosquitoes rely on plant sugar as a source of energy. Despite plant sugar being an essential nutrient source, relatively little is known about the identity of plants preferred by mosquitoes for their sugar meals. Unlike prior studies, this research utilizes molecular techniques to uncover the mosquito plant diet as found directly within the mosquito gut. In my research, I use wild-caught Aedes aegypti and Aedes albopictus mosquitoes- the vectors for yellow fever, zika, dengue, and chikungunya. I first extract the DNA within its digestive tracks, then use PCR to amplify plant-specific sequences. Following, I use DNA sequencing to identify the plant species consumed based on barcoding markers. Each plant possesses a unique bouquet of scent chemicals that may influence mosquitoes' foraging behavior. To investigate the profile of chemicals emitted by mosquito-attractive plants, I analyze their volatile organic compounds (VOCs) using gas chromatography-mass spectrometry (GC-MS). I first separate the individual VOCs present in the plant species using gas chromatography, then identify and quantify the compounds using mass spectrometry. By linking these chemical profiles to mosquito feeding preferences, this research helps determine which plant volatiles attract mosquitoes, providing insight into how odor-based mosquito traps can be improved. This work contributes to a broader understanding of mosquito feeding ecology, with applications for public health and mosquito population management.

In the paper "Planting Undetectable Backdoors in Machine Learning Models" by Goldwasser et al (arXiv:2204:06974), the authors establish the notion of "black-box undetectability" for machine learning models and prove it in many cases. This is a backdoor that is undetectable by merely looking at inputs and outputs of the model. The paper also introduces the concept of "white-box undetectability."  We aim to consider this stronger notion and outline how even with the knowledge of entire model weights, there may be undetectable backdoors in a model. More specifically, we establish an idea where one takes an innocuous model (say a Multi-Layer-Perceptron model) and enlarges it by adding "dummy" edges and using appropriate non-linear activation functions to effectively place a backdoor in the model. In our project, we establish a proof of concept by backdooring an MNIST classifier.

Human liver microsomes, or HLMs, play a key role in drug metabolism because they contain important cytochrome P450 (CYP) enzymes that are critical in oxidation and hydrolysis processes. We hypothesized that the variability in CYP enzyme concentration and activity among individuals will contribute to differences in metabolic capacity. In this study, my goal was to characterize HLMs from a bank of individual donors with different genetic backgrounds. I assessed their drug-metabolizing capabilities, with an emphasis on CYP-mediated pathways. I used bicinchoninic acid assays (BCA) to quantify protein content, carbon monoxide heme spectra (P450 spectra) to determine CYP enzyme concentrations, and a cytochrome c reduction assay to measure P450 reductase activity. For conducting these experiments, we used HLM samples from five different individuals from the UW Human Liver Bank. From the first subset of samples, I found that the ratio of CYP protein to total protein content varied across individuals with different clinical presentations. The differences among individuals in our findings emphasize the importance of HLM characterization in preclinical drug trials to understand the need for the personalization of pharmacological treatments. The implementation of such characterization can have a tremendous effect on predictions of drug responses and optimization of drug dosages, ultimately improving drug efficacy and safety.

Acetylcholine (ACh), a neurotransmitter known for its roles in neuromuscular function and cognition, has recently been implicated in immune regulation, particularly in the context of Type-2 immunity. The Type-2 response combats parasites at mucosal and cutaneous sites and plays a role in allergic diseases like asthma and food allergy. In the intestine, Type-2 inflammation involves a dramatic remodeling of the intestinal epithelium via the activation of intestinal epithelial stem cells (ISCs), which results in the hyperplasia of specialized effector-like secretory cells such as goblet and tuft cells. These epithelial cells then produce factors that talk back to the epithelium, such as Ach, and factors that promote Type 2 immune responses, such as the cytokine interleukin-25. Tuft cells are the only intestinal epithelial cells that express choline acetyltransferase, the enzyme for ACh synthesis. Recent work suggests that during helminth infection, tuft cells release ACh in response to IL-13 signaling, implying a role for ACh in regulating epithelial responses. However, its specific function in epithelial remodeling and Type-2 immunity remains unclear.This project aims to investigate ACh’s epithelial intrinsic role in Type-2 immune responses using an in-vitro enteroid model of the intestinal epithelium. Enteroids, 3-D cultures derived from stem cells, model the epithelium without immune cells, allowing for a focused examination of epithelial-intrinsic factors in immune responses. By culturing and treating enteroids from wild-type and tuft cell-deficient mice with ACh, we will assess its effects on goblet cell proliferation, inflammation, and stem cell renewal during injury regeneration responses. I hypothesize that ACh enhances the pro-Type-2 inflammatory response in enteroid epithelial cells, leading to heightened immune activity. This research will advance our understanding of the neuro-immune axis in the gut and may have implications for parasitic infections and allergic inflammation.

My research project focuses on age-related changes in muscle function. We have previously designed and used novel young and naturally aged in vitro three-dimensional engineered muscle tissues (3D-EMTs) using donated myoblasts from the Study of Muscle, Mobility, and Aging (SOMMA) to investigate this. A question raised in this research is the how closely force measured in 3D-EMTs correlates to in vivo force of intact skeletal muscle. To address this, I stimulated young and aged mice's gastrocnemius muscles to contract (Aurora Instruments) measuring maximum force, contraction/relaxation kinetics, and fatiguability. Mice were then sacrificed and hindlimb muscles dissociated to isolate skeletal muscle myoblasts for cell culture. Myoblasts were amplified and used to generate young and aged rodent 3D-EMT. We tested in vitro 3D-EMT muscle mechanics using a Magnetometric Analyzer for engiNeered Tissue ARRAY (MantARRAY, Curi Bio). In vitro muscle force data was compared to in vivo force data from the same mouse. Results generated by this project helped identify the correlation between in vivo and in vitro force measurements and how they are impacted by age. This study also allowed us to bank multiple cell lines for future high throughput studies to utilize these rodent 3D-EMT models to study the progressive loss of muscle mass and function known as sarcopenia. The results from this project and the cellular models created will be used in the future to investigate potential targets for therapeutic interventions to treat sarcopenia in an ever-expanding aging population.

Presbyphonia, or "aging voice", is one of the most common voice concerns, with prevalence ranging from 19-40% in the older adult (60+) population. Common symptoms of presbyphonia are a strained, weak voice and reduced loudness, which causes communication difficulties that negatively affect mental and social wellbeing. A key factor contributing to presbyphonia is vocal fold atrophy, which is deterioration of the muscle and tissue in the vocal folds. This causes weakness and incomplete vocal fold closure during voice production. Treatment usually consists of voice therapy with a speech-language pathologist (SLP) or vocal fold injections to bulk up vocal fold volume from an otolaryngologist. Currently, the standard for viewing the vocal folds to assess post-treatment change in vocal function is via an endoscope. However, endoscopic examination of the vocal folds relies on perceptual assessment in two dimensions, restricting analysis of vocal fold volume. In this research project, I am using magnetic resonance imaging (MRI) to view the vocal folds in 3D, allowing for a complete analysis of volume in mm3. My goal is to use this novel method to provide new information on which treatments create the best outcomes for patients in terms of vocal fold volume and voice quality. Participants undergo a comprehensive voice assessment conducted by me and a mentor SLP, an initial MRI scan, and then complete one of two treatment pathways: either 4-6 weeks of voice therapy or vocal fold injections. After treatment, they return for another voice assessment and MRI to evaluate the effects. This research is ongoing, but I anticipate that both treatment groups will experience improvement in voice outcomes, consistent with the literature. However, it is unknown if vocal fold volume will increase in both treatment groups, as MRI has not been used to assess post-treatment outcomes in this patient population.  

On May 19, 2015, President Obama released the "National Strategy to Promote the Health of Honey Bees and Other Pollinators" to reduce pollinators' mortality rates when overwintering. This plan compelled honeybee researchers to search for trends in honey bee hives that did not survive the winter. The Varroa mite was one of the main focuses of this strategy as it has been shown to kill hives in the past. Here in the Puget Sound region, the Green River College Honeybees program verified that Puget Sound beekeepers face the same problems with Varroa; I joined the team in 2024. Given that Varroa has been problematic since the late 1980s, we wanted to research for another strategy. Managing honeybee colonies for Varroa infestations can improve survivability of honeybee colonies, but we had no information about how it affects honey production. In order to see the impact that different mite treatments had on a hive's honey production, we measured the hive's weight prior to treatment, along with the percentage of mites found in the hive. Here, we present data that demonstrates that if managed properly, not only can Varroa infestations be reduced, but honey production can be increased. What we did not expect, was that some treatments negatively affect honey production. This new methodology should provide more motivation for beekeepers to not only manage differently, but also work more collaboratively to prevent Varroa infestations from spreading. 

Accurately describing a child’s language skills is difficult, but identifying children with atypical language development adds even more complexity. In an ordinary language assessment session, a Speech-Language Pathologist (SLP) will use both standardized, norm-referenced assessments and non-standardized assessments, like Language Sample Analysis (LSA). However, there is little research about how these different assessments relate to one another. To better understand this relationship, the language abilities of children (n=38) were assessed after turning 6-years-old and attending Kindergarten by SLPs using the following norm-referenced tests: a sound-in-words subtest from the Goldman-Fristoe Test of Articulation, 3rd Ed. (GFTA-3); core language subtests from the Clinical Evaluation of Language Fundamentals, 5th Ed. (CELF-5); and a nonverbal IQ subtest from the Kaufman Brief Intelligence Test, 2nd Ed. (KBIT-2). Then, a 10- to 20-minute language sample of the child’s spontaneous speech was collected for analysis. This project extends from previous research by including participants beyond clinical populations and using multiple sampling contexts to holistically capture the child’s naturalistic speech. I transcribed each language sample with Codes for Human Analysis of Transcripts (CHAT) and utilized Computerized Language Analysis (CLAN) software to automatically compute measures reflecting language skills from the language samples. I will conduct correlational analyses to inspect the associations between measures from norm-referenced tests and measures extracted from language samples. I expect to see significantly positive correlations between several CELF-5 measures and LSA measures of morphosyntactic development (i.e., grammar) that demonstrate a convergence between these two methods of assessment. Correlations between LSA measures and GFTA-3 measures are expected as well but to a lesser degree of association because they do not index identical elements of language. Overall, relationships discovered during this process will lend themselves to further understanding the information we gain from these common tools of language assessment.

Changing patterns of human land use near coastal zones have increased the abundance of aquatic habitats where mosquito and midge larvae develop. Salt-tolerant species, such as Aedes togoi mosquitoes and Dicrotendipes enteromorphae midges, have evolved distinct anatomical and physiological mechanisms that allow them to thrive in saltwater environments while also being able to develop in freshwater. While much is known about how freshwater-confined species maintain salt and water homeostasis (i.e. osmoregulation) in dilute freshwater, these processes remain largely unexplored in salt-tolerant species. The main goal of this research was to describe and compare the osmoregulatory strategies of Ae. togoi and D. enteromorphae larvae reared in seawater and freshwater, focusing on how they maintain ion and water balance in saline conditions. Based on information from other salt-tolerant insects, I hypothesized that the rectum of these species is the main organ that excretes salts and will have higher expression of ion pumps compared to other osmoregulatory organs of the larvae. This increased expression would support the secretion of hyperosmotic (salty) urine, a critical adaptation for survival in saltwater. Using immunohistochemistry and fluorescence microscopy, I localized key ion-transport pumps within the rectum and other osmoregulatory organs of Ae. togoi and D. enteromorphae larvae. I identified a high expression of Na⁺/K⁺-ATPase (sodium/potassium pump), and V-type H⁺-ATPase (proton pump) enriched in the anal gills, renal tubules, and the rectum. My findings suggest that the coordinated function of many osmoregulatory organs, and not just the rectum, allows for salt-secretion by marine insects, and this establishes an initial framework of cellular mechanisms among marine insects. This research has implications for predicting future species distributions with rising sea levels, as well as the potential to identify novel targets to control salt-tolerant mosquito populations to mitigate disease transmission in coastal regions.

Aquacultures are an environmentally responsible way of breeding and harvesting a variety of marine organisms. Challenges to aquacultures include the introduction of nonnative pathogens and parasites to wild fish as well as intense changes to the physical environment. Monitoring the environment for impacts of aquaculture is costly and time-consuming, so finding a cost-effective rapid monitoring solution is important. This project tests the feasibility of monitoring the diversity of meiofauna species present in the sediment via DNA sequencing. Meiofauna species are marine organisms between 0.06 mm and 1 mm in size that live in marine sediment. DNA sequencing is quicker and cheaper than current monitoring practices, and since changes to the physical environment affect meiofauna species diversity, observing the change in species diversity is a potential alternative to monitoring aquaculture health. Through samples taken before and after the introduction of a sablefish net pen aquaculture, analysis of both physical sediment samples and meiofauna samples will determine the feasibility of implementation. By looking at the total organic carbon content and grain size distribution of the sediment samples, we can determine the physical changes to the environment caused by aquaculture. Suppose the DNA sequencing results show shifts in species diversity that match the physical changes. In that case, we can confirm there is evidence supporting the feasibility of implementing monitoring via meiofauna DNA sequencing. 

Increased mitochondrial oxidative stress causes fatigue and metabolic dysfunction in muscle tissue. It is unclear whether the oxidative stress is due to elevated production or impaired consumption of reactive oxygen species (ROS). The purpose of this study is to test whether the capacity of the antioxidant defense system is impaired or the mitochondrial ROS production rate is elevated in response to chronic changes in mitochondrial oxidative stress. To experimentally manipulate mitochondrial oxidative stress, we use an inducible mouse model to knockdown superoxide dismutase 2 (SOD2) in skeletal muscle and heart to increase oxidative stress, and exercise training to decrease oxidative stress. Knockdowns (KD) or littermate controls (CON) performed a six-week voluntary wheel running (EX) or sedentary control intervention (SED). Following completion of the intervention, I isolated heart and skeletal muscle mitochondria using differential centrifugation. I measured mitochondrial hydrogen peroxide (H₂O₂) production rate and tested the antioxidant capacity by treating isolated mitochondria with Auranofin (AFN) or 1-chloro-2,4-dintrobenzene (CDNB), which inhibit the thioredoxin and glutathione S-transferase components of the mitochondrial antioxidant defense system, respectively. KD heart and skeletal muscle had similar absolute H₂O₂ production rates compared to CON, but normalized to oxygen consumption the KD had significantly higher H₂O₂ production. Since absolute H₂O₂ production under vehicle conditions was not different, this suggests that the antioxidant capacity adapts to meet the changes in mitochondrial H₂O₂ production. We will collect data from the exercise-trained cohort next month. I expect to see an increase in H₂O₂ production rate and antioxidant capacity in both groups due to the increased mitochondrial biogenesis from exercise training. These results demonstrate that chronic increases in mitochondrial oxidative stress decrease mitochondrial H₂O₂ production capacity from skeletal muscle.

Cancer Cachexia is a condition characterized by muscle wasting, functional impairment and decreased quality of life that leads to 30% of cancer-related deaths. Cytokines, proteins secreted by both the body and tumors that drive inflammatory response, are potential therapeutic targets and biomarkers for tracking disease progression. However, their role in cancer cachexia and relationship with physical function, patient-reported quality of life, and body composition have not been fully characterized. We hypothesized that in cancer patients, inflammatory cytokines would be elevated in patients with weight loss compared to weight-stable patients and inflammatory cytokines would be negatively correlated with muscle function, patient-reported outcomes and body composition. Body composition was assessed by Dual-energy X-ray absorptiometry (DEXA) and X-ray computed tomography (CT). Muscle function was assessed by stair climb power, hand grip strength and one-repetition maximum (1RM) muscle strength of different muscle groups. I assessed 55 cytokine plasma levels with Mesoscale Discovery Assay kits. Preliminary analyses show that in patients with cancer, interleukin (IL)-6 is negatively correlated with CT skeletal muscle mass (r=-0.36, p<0.05, n=53), IL-8 is negatively correlated with body weight (r=-0.40, p<0.01, n=53), body mass index (r=-0.41, p<0.01, n=53), CT skeletal muscle mass and subcutaneous adipose tissue (r=-0.49, p<0.05, n=53). Tumor Necrosis Factor-Alpha was negatively correlated with hand grip strength (r=-0.30, p<0.05, n=53). IL-5 was positively correlated with Anderson Symptom Assessment Scale (ASAS) fatigue (r = 0.40, N = 47, p = 0.005) and ASAS total (r = 0.45, n = 47, p = 0.002). Certain cytokines are linked to worse muscle mass and function, while others correlate with better patient-reported outcomes, suggesting inflammation’s role in cachexia is complex. More research is needed to distinguish these differences for targeted therapies treating specific attributes of cachexia.

This project seeks to investigate the viability of a multi-channel grating coupler (GC) as an approach for individual ion addressing in ion-trap architectures. A multi-channel design is desirable because it allows for one GC to be used for controllable, individual addressing of many ions. Current approaches for ion addressing include bulky optical systems or single channel GCs which both have notable shortcomings. Optical arrays employing large lens and laser systems require complex, error-sensitive setups, challenging the scalability of those systems. Single channel GCs reduce the complexity and footprint of the optical setup, but they are unsuitable for individual addressing of ions within a chain. Single channel GCs provide the ability to globally address N ions using one integrated structure, or individually address N ions using N integrated structures. Both of these solutions are not optimal as global addressing lacks the specificity required for complex quantum operations, and using one grating structure per ion entails a massive footprint for large ion chains, much larger than the chain itself. A multi-channel GC allows many ions to be individually addressed by one compact integrated structure and, with optimization, multi-channel GCs can achieve high coupling efficiencies and low insertion losses, allowing for accurate and reliable addressing of ions. To design a multi-channel GC for this purpose, we first develop an idealized analytical model by deriving the relationship between the incident angle of guided light into a grating structure and the output angle of diffracted light into free space. Using this analytical model, a conceptual design for a multi-channel GC is formulated. Finally, the GC design is optimized using finite difference time domain (FDTD) simulation software. We will present the results of our idealized analytical model and results from optimization of a full FDTD simulation of our structure.

Stiffness measures derived from MR Elastography have shown value in guiding treatment decisions and monitoring effectiveness of therapies for liver disease but it requires extra hardware, longer scan duration and is susceptible to motion and breathing artifacts. Recent studies have revealed a strong linear correlation between water diffusion and tissue stiffness, demonstrating that Diffusion Weighted MRI (DWI) can be used to estimate stiffness values in liver tissue. DWI-derived stiffness values may help evaluate treatment-induced changes in breast cancer but to our knowledge, this has not yet been tested. The purpose of my ongoing study is to calibrate DWI estimates of tissue stiffness for the breast by optimizing DWI parameters (diffusion weightings, or ‘b-values’) and  calibration coefficients (a, b), evaluating the potential of stiffness measures for monitoring response to neoadjuvant chemotherapy (NAC) in breast cancer. We collected baseline and early treatment MRI exams from 25 patients undergoing NAC in this IRB approved study along with their treatment outcomes based on pathologic response post completion of NAC. I evaluated  the stiffness values obtained from different b-value pairs (low b-values: 100/200; high b-values: 800,1500,2000 s/mm²) and calibration coefficients(a,b=-9.7,13.9:-10.8,17.5:-8.8,21.2) and compared it to the invasive breast cancer stiffness values reported in literature. I also evaluated the performance of the optimized parameters to predict treatment response. The optimal b-value pairing (b=200,1500s/mm²) and coefficients a=-9.7,b=13.9 produced stiffness values consistent with literature. Using this approach, the performance for predicting treatment outcomes between responder and non-responder groups was AUC=0.84. These preliminary findings suggest that DWI based virtual elastography could serve as a non-invasive tool to assess tumor stiffness and track treatment efficacy, potentially improving breast cancer management.

The hearing aid experience is not a one-size-fits-all situation. Rather, each hearing aid user and their environment is unique. This project aimed to customize the listening experience of hearing aid users by reconstructing daily sound scenes based on real-world data during hearing aid fine-tuning. Older adults with mild to severe hearing loss were recruited and randomly assigned to the experimental or control group. All participants were fitted and sent home with hearing aids for an initial field trial of two weeks. During this period, they were instructed to collect information on the sound scenes that they identified as most important to their communication needs, including communication intent, listening effort, and acoustic recordings of the scenes. Following the initial field trial, participants were invited back for hearing aid fine-tuning. Participants in the experimental group conducted self-directed adjustment of their hearing aid gain for the individualized sound scenes reconstructed in the lab based on the audio recordings collected during the initial field trial. In contrast, participants in the control group made adjustments in two non-individualized, generic acoustic environments. Following fine-tuning, the participants were sent out again for three weeks, before returning for final outcome assessments. These included speech recognition performance in background noise and questionnaires on the subjective benefits of the hearing aids. For my role, I conducted detailed analyses of the survey data collected during the two field trials and the final outcome questionnaire results. Additionally, I managed the equipment inventory to support the field trials. It is anticipated that the experimental group will demonstrate greater clinical outcomes based on speech recognition testing and subjective questionnaires than the control group. If this is confirmed, it would provide the first evidence for leveraging real-world data in individualized hearing aid fine-tuning.

For biomass derived molecules to serve as precursors for biofuel and other related energy sources, more stable and efficient catalysts are needed. Drawing inspiration from enzymes, our group has recently shown that a bifunctional acid–base metal–organic framework (MOF) with co-localized acid and base sites outperforms a MOF with randomly dispersed acid and base sites as a catalyst for the aldol condensation of biomass-derived carbonyls. These active acid–base sites are composed of a primary amine and carboxylic acid. However, to further improve catalytic activity a templated framework with secondary amine and carboxylic acid active sites can be developed. Relative to primary amines, secondary amines should favor the formation of the key enamine intermediate and increase catalytic rates. Framework synthesis and characterization show success of incorporation of the secondary amine, and preliminary catalysis results indicate how successful this secondary amine has been. Overall, this work expands on the previous introduction of metal-organic framework catalysts as an alternative to common industrial catalysts in the biomass upcycling process by exploring the utility of a new templated secondary amine acid–base MOF. 

Microglia are innate immune cells in the brain that play an important role in maintaining homeostasis, carrying out immune surveillance, and modulating synaptic plasticity. Through the secretion of cytokines, along with physical functions like synaptic pruning and network refinement via phagocytosis, microglia support the health of neurons and help establish a functional neuronal network. In previous experiments, our lab demonstrated that when cultured with microglia, neurons exhibit more robust morphology and greater synaptic activity. However, it remained unclear whether the beneficial effects of microglia on neurons occur during physical contact between the two cell types, or if the supportive factors secreted by microglia are sufficient to drive this change. To investigate this, I compared the morphology and function of neurons directly co-cultured with microglia, to neurons treated with media conditioned by microglia. In the microglia-conditioned media treatment, I conditioned the microglia media for 24, 48, and 72 hours prior to treating the neurons to determine the optimal conditions for establishing a healthy neuronal environment. To evaluate these results, I conducted immunofluorescence staining for microtubule-associated protein tau (MAPT) and microtubule-associated protein 2 (MAP2), both of which are indicators of neuronal health. I analyzed fluorescence intensity and neurite length to quantify morphological differences in neurons between conditions. To investigate differences in synaptic activity, I carried out micro-electrode array recordings of neurons in each condition. Using data from these recordings, I analyzed the coordinated and overall electrical activity to measure the functionality of the synaptic network in each condition. Given that microglia perform both secretory and physical functions, I expected that neurons directly co-cultured with microglia would exhibit more robust phenotypic and functional characteristics. These experiments provide insight into healthy neuron-microglia interactions and reveal possible avenues towards their dysregulation in Alzheimer’s disease (AD), potentially guiding the development of therapeutics targeting such interactions.

The identification of synergistic drug combinations remains a significant challenge in oncology due to the large amount of existing drugs and complex interactions between these drugs. In this work, we propose an active learning framework applied to the NCI ALMANAC dataset to efficiently uncover promising drug pairs that conventional screening methods might overlook due to lack of time and resources to handle these nearly countless combinations. Building on established greedy sampling strategies—such as GSx, which selects samples based on maximal minimum distance in the input space, and GSy, which focuses on output diversity—we introduce modifications to potentially enhance sample selection diversity and predictive performance. First, we explore replacing the traditional greatest minimum distance criterion with a greatest average distance metric, hypothesizing that this adjustment captures the overall variability in the data differently than the traditional method. Second, we redefine the improved greedy sampling (iGS) approach by standardizing the distance metrics from both the input (GSx) and output (GSy) spaces using Z-score normalization (or alternative standardization methods) prior to their aggregation, rather than combining them multiplicatively. We conduct a comprehensive comparative analysis against traditional methods to evaluate improvements in model convergence, prediction accuracy, and the ability to identify rare but potent drug combinations. We also explore other active learning strategies as Query By Committee (QBC) and others. Our preliminary findings suggest that these tailored active learning techniques offer a promising pathway toward more efficient and insightful exploration of high-dimensional drug interaction landscapes.

Autosomal Dominant Alzheimer’s Disease (ADAD) can result from a pathogenic variant in the PSEN2 gene, which encodes an integral membrane protein called Presenilin 2. This variant has been shown to result in a harmful change in the balance of amyloid-β types in neurons, which has been hypothesized to increase risk of dementia. The diverse capabilities of Presenilin give reason to hypothesize that there may be other effects of the variant protein that are connected to ADAD pathogenesis. Reduced spine density, a feature of ADAD pathology, may be caused by overactivity of synaptic pruning. This activity is mediated by resident innate immune cells in the brain called microglia. We sought to explore the effects of PSEN2 variants on microglia-neuronal interactions via the assessment of synaptic pruning in a human induced pluripotent stem cell (hiPSC) derived in vitro model. We differentiated CVIA2 isogenic and PSEN2 N141I variant hiPSCs into both microglia and neurons. Utilizing a coculture of both wild-type neurons and microglia with the PSEN2 N141I variant, we performed immunocytochemistry for synaptic proteins Synapsin 1 and PSD95a. We then imaged the microglia and neurons using confocal microscopy. We assessed differences in synaptic pruning by quantifying immunofluorescent signal of Synapsin in microglia. Specifically, we looked at the colocalization of synaptic protein expression with signal from microglia-specific protein Iba1. We hypothesized that the variant microglia would contain a significantly different amount of signal for Synapsin compared to that of a control sample of wild-type microglia and neurons, implying a change to synaptic pruning function. If altered microglial synaptic pruning activity is shown to play a role in ADAD pathogenesis, targeting microglia could become a possible therapeutic treatment for patients.

Hyalella azteca are freshwater amphipod crustaceans abundantly found throughout North America and are frequently used in toxicology for water and sediment toxicity testing. As freshwater bodies change due to anthropogenic climate change, understanding chronic, sublethal impacts to aquatic life is critical. Amphipods are known to have a higher tolerance to heavy metals (i.e. Cu²⁺) and road salt (i.e. NaCl) compared to other aquatic invertebrates, however, these contaminants may have subtle, sublethal consequences on their ability to smell and detect chemical cues for survival and reproduction. This research identifies the combined impacts of environmentally relevant levels of Cu2+ and NaCl, on the olfactory system and olfactory-related behaviors of H. azteca. H. azteca underwent acute 96 hour exposure to control, Cu2+ (30 µmol/L), and combined Cu2+ (30 µmol/L) and NaCl (5 ppt) contaminated freshwater. I recorded daily measurements of survival, and utilized qPCR to examine changes in the expression of key olfactory genes that we predicted would be modulated in response to these multiple stressors. I assessed the olfactory-associated foraging behavior to determine changes in their detection of an attractive food cue when exposed to Cu2+ and NaCl, which would indicate olfactory impairment. Preliminary results show that amphipod survival is not impacted by Cu2+ and NaCl contamination but changes to their olfactory system occur. Therefore, U.S. Environmental Protection Agency water quality standards for heavy metals and salt may not mitigate long-term, sublethal effects on aquatic animal populations as it relates to this important sensory modality.

Microbial odors are essential for attracting mosquitoes to their hosts, but their role in attraction to other nutrient sources remains unknown. Sugar sources provide nutrients that lengthen the lifespan of both male and female mosquitoes and increase the vectorial capacity in host-seeking female mosquitoes. Microbial odors have been shown to act as proxy signals for the availability and composition of certain nutrients, such as amino acids and mineral ions, found in nectar and fruit sap. As microbes are abundant in flowers and fruits, we hypothesize that Microbial Volatile Organic Compounds (mVOCs) from these nutrient sources play an important role in the feeding behavior of mosquitos. To test this, we analyzed the microbial community of a known attractive fruit, Mangifera indica ‘Keitt.’ Microbial species were identified from our environmental samples through amplicon sequencing of the 16S and 26S regions. Isolates of the most abundant and relevant species were cultured for mVOC collection and chemical analysis via Gas Chromatography and Mass Spectroscopy (GC-MS). Behavioral assays were then performed with Aedes aegypti mosquitoes to observe the effect of microbial odors on the attractiveness of nutrient sources. Through the identification of behaviorally-relevant microbial compounds, we can gain a stronger understanding of the ecological dynamics of mosquito chemoreception and microbial community signaling, which can help inform future mosquito-control measures.

The Sensors, Energy, and Automation Lab (SEAL) aims to gamify undergraduate research by instituting a leaderboard, awarding points for tasks, assigning ranks for accomplishments and published papers, and framing research directions as Quests. Individuals receive a character sheet with a health bar, while groups compete against one another in Racetrack- a software for team challenges. Gamification in educational settings is well-studied: gamifying learning can boost students’ motivation, retention, and challenge appraisal. However, research indicates that the efficacy of gamification varies dramatically, particularly personality traits like extraversion, which correlate more positively with success in software with leaderboards. Significant gaps exist in gamification literature; existing research primarily studies gamification in classrooms, not workplaces or research environments. Further, the studies fail to incorporate modern approaches to psychology. The socio-psychological model suggests personalities and behaviors differ depending on the environment, meaning people may exhibit different personality traits in gamified environments. Moreover, gamer motivation, a personality test tailored to predicting player personality with strong correlations to the Big Five (psychological scale for key personality traits), has yet to be tested in gamification studies. By accounting for contemporary psychological theory, SEAL aims to rigorously test the hypothesis that gamification is an effective structure in lab organizations through multi-year longitudinal study on a scale never seen in gamification literature. SEAL’s large cohort and gamified structure offer a perfect platform to analyze the role of demographic and personality type in gamification outcomes. Our preliminary results explored collected qualitative and quantitative data on demographics, gamer motivation personality, and perceptions of the SEAL system by anonymously surveying 81 associates. Our longitudinal study contributes to the growing literature on gamification; a solution potentially improving productivity in research ecosystems.

Traumatic spinal cord injuries (SCI) are devastating and lead to permanent and irreversible functional impairments. While the primary injury causes immediate damage, the progression of secondary injury is characterized by neuroinflammation. Microglia, the resident immune cells of the central nervous system, can further contribute to tissue damage. Although extensive research has been done focusing on microglial activation at the lesion site, their presence in regions distal to the injury at the chronic stage (4-6 weeks after injury) remains understudied. Here, we aimed to investigate the correlation between microglial activation in the lumbar region caudal to the injury site and cervical region rostral to the injury site with different grades of injury severity. We hypothesize that as injury severity increases, microglial activation in the surrounding region will increase as well. Contusion injuries were created at T8/9 in Long Evans rats using three impact forces: 200 kilodynes, 200 kilodynes and 2-second dwell time, and 250 kilodynes and 2-second dwell time. After 8 weeks post injury, our histological analyses revealed a significant increase in microglial activation in the caudal region, with activation levels reaching 136.03%, 205.08%, and 254.81% of sham levels in the 200, 200/2s, and 250/2s groups, respectively (n = 5/group). The most severe injury had the highest microglial inflammation. We anticipate a similar trend in the cervical region rostral to the injury. Combined, our data indicate a significant microglial response in regions distal to the injury, which correlates with impaired functional recovery. We believe that modulating microglial responses in the regions distal to the site of SCI could provide a novel approach to reducing chronic secondary injury and enhancing recovery following traumatic SCI.

Dementia, a growing global health concern, affects the nervous system and leads to severe cognitive impairment, with Alzheimer’s disease (AD) being the most common form, currently impacting nearly 7 million Americans. As life expectancy increases, the prevalence of dementia increases in corresponding fashion, driving research efforts like those of the Darvas Lab, where we study AD and other related dementias using adeno-associated viruses (AAVs) to induce neuropathologic changes. The TDP43 protein is involved in neuropathologic changes such as those in Frontotemporal Dementia (FTD) and in Amyotrophic Lateral Sclerosis (ALS), a primary motor neuron disorder. TDP43, primarily localized in the nucleus, plays a crucial role in regulating gene expression and RNA metabolism. TDP43 pathology in neurons involves the presence of TDP43 in the cytoplasm and its accumulation in cytoplasmic inclusions. To better understand the role of TDP43 in neurodegeneration, we use a mouse model where TDP43 proteins are introduced via AAV, a genetically engineered viral vector commonly used in research. This approach allows control over the timing of neuropathologic changes. Our prior AAV constructs included the Synapsin I promoter, which led to a severe ALS-like motor phenotype due to its expression in spinal motor neurons. However, this model could not be used to study the more subtle effects of dementia due to the extreme nature of the physical pathology. Therefore, our goal is to produce a new model to overexpress TDP43 using an AAV that is exclusive to the cortical brain regions relevant to FTD by instead including the CamKIIα promoter, which exclusively drives expression in the forebrain. I assessed behavioral phenotypes in our mouse model by conducting a Y-maze to evaluate effects on short-term memory, and analyzing neurological scoring to evaluate neuromuscular dysfunction. The development of a more dementia-focused TDP43 model will allow us to more specifically investigate its neuropathology.

Large Language Models (LLMs) have demonstrated remarkable performance in code generation and problem-solving, but their effectiveness varies across problem domains and complexities. In this study, we assess the problem-solving capabilities of different LLMs on a subset of LeetCode problems, categorized by difficulty, topic, and computational complexity. Through a systematic analysis of LLM performance across question topics—such as dynamic programming, matrix, and binary search—we identify trends in their strengths and weaknesses. Our findings reveal that LLMs excel at problems likely included in their training data but struggle significantly with novel or unseen problems. By evaluating their performance across different algorithmic domains, we offer insights into the potential limitations in specific algorithmic domains and implications for AI-assisted coding, competitive programming, and software engineering education. 

4.5 million adults in the United States are diagnosed with chronic liver disease. Over time this can lead to cirrhosis, an end-stage condition in which scarring occurs in the liver. Reduced liver function from cirrhosis results in accumulations of neurotoxic substances that induce a spectrum of neurological impairments known as hepatic encephalopathy (HE). The critical flicker frequency (CFF) test is a well-established screening test for HE. Previously we developed Beacon, a novel and portable CFF measuring device that can be administered at home via smartphone app, as an accessible alternative to current CFF measurement devices that are large, expensive, and not intended for at-home use. We found that Beacon produced a CFF measurement that aligned with commercially available devices. While the current Beacon reflects current commercial devices, the efficiency of measurement is bottlenecked by the fact that pairs of flickering light stimuli can only be presented sequentially due to the singular light source. We therefore propose a dual headed version of Beacon that gives the option of flashing two frequencies simultaneously. I designed and developed a version of this dual-headed Beacon with sliding heads as well as an accompanying user interface before conducting a series of user studies, beginning with a pilot study on healthy individuals and progressing to a clinical trial on chronic liver disease patients, to evaluate the impact of the number of light sources and the distance between them on CFF measurement time and repeatability. I hypothesize that the two-headed Beacon will produce a CFF measurement more quickly than the original Beacon and that a closer distance between heads will also produce quicker and more consistent measurements. These findings will help inform the development of future iterations of the Beacon, leading to improved outcomes for chronic liver disease patients.

Carpenter syndrome is a congenital disorder mainly characterized by craniosynostosis – soft spots of the skull fuse prematurely resulting in skull elongation. MEGF8, a protein in the MEGF8-MGRN1-MOSMO (MMM) regulatory complex involved in Hedgehog (Hh) signaling, has been previously linked to Carpenter syndrome. Hh signaling, a core developmental pathway, plays many roles in skull development, including functioning as a guidance cue for cranial neural crest cells (foundational cells for skull bones) and regulating bone ossification (bone hardening). Despite the previous research linking MEGF8 and anomalous skull development, the role of the MMM complex and Hh signaling in skull development and the mechanism behind this abnormal skull development is still widely unknown. I’m exploring the mechanism by which elevated Hh signaling influences cell fates during the development of skull structures. I investigated a whole-embryo knockout mouse model to identify regions where overexpression of Hh correlates to abnormal skull phenotypes. I explored and measured these phenotypes via imaging a genetic Hedgehog reporter mouse line and skeletal stained embryos of various ages. These knockout mice were embryonic lethal because of a congenital heart defect associated with loss of Hh. We introduced an inducible Cre to conditionally knockout the MMM complex at a later age, avoiding heart defects. My findings identified the interparietal and parietal regions of the skull as areas of interest, visualized by over-ossification and lack of defined structural boundaries- nasal and palatal development was normally observed. These findings suggest that elevated Hh signals result in abnormal development of skull structures, similar to craniosynostosis, and are involved in intramembranous ossification (skull structures) rather than endochondral ossification (nasal/palate). From these findings, I’m investigating how Hh signaling plays a role in skull development and intramembranous ossification.

Antibiotic resistance is an increasingly critical concern for the treatment of bacterial infections, rendering new therapy options progressively more necessary. Gram positive bacteria are common infectious agents in skin and soft tissue infections, pneumonia, urinary tract infections, bacteremia, and more. A novel antibiotic candidate, MRS-2541 has been demonstrated to inhibit Gram positive methionyl-tRNA synthetase and decrease bacterial loads of both methicillin-resistant Staphylococcus aureus (MRSA) and Streptococcus pyogenes in mouse thigh infections to the same degree as currently recommended therapy. This study aims to further characterize the activity of MRS-2541 against Gram positive bacteria including Staphylococcus epidermidis, Staphylococcus haemolyticus, Staphylococcus lugdunensis, Staphylococcus saprophyticus, Staphylococcus aureus, MRSA, Streptococcus pyogenes, Streptococcus agalactiae, and Streptococcus salivarius. I conducted this study by first determining the preliminary minimum inhibitory concentration of MRS-2541 in growth media against each of the aforementioned organisms. I then use these results to guide time kill assays that characterize MRS-2541’s synergy with another antibiotic often used to treat Gram positive infections outside of the United States. Preliminary results demonstrate that MRS-2541 inhibits the above-mentioned organisms. Synergy experiments with MRS-2541 and existing antibiotics will be performed and results will be presented at the symposium. These results will further define the spectrum of activity as well as synergy of MRS-2541, allowing new insight into its candidacy for clinical trials. As a novel antibiotic candidate, the development of MRS-2541 will help address the increase in antibiotic resistance among Gram positive bacterial infections.

Wildfires are capable of altering landscapes, devastating forests, and communities, and are increasing in frequency and intensity. However, the hazard extends well past the burn phase as burn scars are at high risk for the generation of debris flows and flooding in the days, weeks, and years after a fire. Conconully, WA, experienced severe post-fire debris flows and flooding in 2022 following the 2021 Muckamuck fire. Witnessing the effects of both the fire and the subsequent debris flow on my community motivated me to explore why these events occur, to investigate how they initiate, and help inform future warnings or mitigation strategies to increase resilience in the face of these hazards. Whether these floods and debris flows were initiated by shallow landslides, or storm runoff remains unknown, and could alter how post-fire hazard or evacuation warnings are issued. In this study, we employ geospatial analysis to identify areas affected by the fire and correlate these with the origins of the debris flows and flooding. Additionally, we use meteorological data and historical records of similar incidents over the past century, to identify thresholds for flooding initiation both before and after fires. By focusing on this topic, we hope to shed light on the long-term consequences of fires on communities and initiate a dialogue about the ongoing risks they face.

Mycobacterium abscessus is a non-tuberculous mycobacterial (NTM) species that causes severe pulmonary infections, particularly in immunocompromised patients and those with preexisting lung diseases such as cystic fibrosis. Treating M. abscessus infections is challenging due to its intrinsic antibiotic tolerance and capacity to develop multidrug resistance. To identify novel molecules that can target this pathogen and enhance current treatments, we screened a library of FDA-approved drugs (n = 2,400). Our data shows that Netupitant, a drug commonly used to prevent chemotherapy-induced nausea and vomiting, exhibits potent antibacterial activity against a broad range of M. abscessus clinical isolates, including multidrug-resistant strains, with a minimum inhibitory concentration (MIC) ranging from 4 to 16 µg/mL. Furthermore, in combination with amikacin, a standard treatment for M. abscessus infections, Netupitant demonstrated strong synergistic interactions, as confirmed by checkerboard microdilution and time-kill assays. These findings highlight Netupitant’s potential as a novel therapeutic option for M. abscessus, particularly in combination with existing antibiotics. Future studies exploring its mechanism of action and in vivo efficacy could further advance antibacterial drug discovery for difficult-to-treat NTM infections.

Cardiac Electrophysiologists (EP) use various devices to diagnose and treat heart rhythm disorders. Unfortunately, these devices can be defective and are subject to recalls by the U.S. Food and Drug Administration (FDA) to protect the patient. This study aims to better understand the rates of these recalls from 2014 to 2024 and thereby evaluate the safety of these devices, compare the safety vis a vis previous decades, and assess the safety of new devices as they are introduced for clinical use. We evaluated the number of FDA advisories related to implantable cardiac devices from 2014 – 2024; total the number of devices recalled under these advisories, determining the most prevalent malfunctions, and analyzing trends compared to rates from 1990-2000. The data shows that Permanent Pacemakers and Implantable Cardioverter Defibrillators (ICD)  have become safer compared to the past, although more units were affected per device advisory. Newer technologies of Leadless Pacemakers, Subcutaneous-ICDs, Implantable Loop Recorders, and Cardiac Contractility Modulation have been impacted by malfunctions and their trend will be critical to follow over the years to come. The findings of this study provide information regarding the safety of these technologies that are valuable to both EP cardiologists and the millions of American patients who live with these devices.

The aim of this study was to examine the respiratory 3D deformational changes in the tongue base with normal weight and obesity in a minipig model. This study included 6 same-sex sibling pairs (3 pairs each sex) of Yucatan minipigs 8-to-9 months old. Of each pair, one minipig was normal weight with a BMI<35 and the other was fed a special diet reaching a BMI>50 (obese,). While under sedation, eight 2mm ultrasonic piezoelectric crystals with an extended skin button attached to the back were surgically implanted at the base of the tongue in a cubic-shaped arrangement. These crystals represented dorsoventral lengths, anteroposterior widths, and thicknesses. The 3D deformational changes of the tongue base were recorded during respiration using a Sonometric system together with synchronized electromyography and airflow recordings to identify respiratory phases. The amplitudes and durations of each dimensional change within the crystal-defined region concerning inspiration were calculated for 5- consecutive respiratory cycles per minipig. The total respiratory cycle duration was 1.87±0.38s in the normal-weight group and 3.2±1.01s in the obese group (p<0.05).  Similarly, the durations of the inspiratory phase in the normal and obese groups were 0.62±0.36s and 1.19±0.77s respectively (p<0.05). Deformational changes in the normal-weighted group included dorsoventral lengthening, anteroposterior ventral widening with dorsal shortening, and thickening in all dimensions. In contrast, the obese group showed dorsal lengthening with ventral shortening, widening in all dimensions, and anterior thickening with posterior shortening. Overall, larger dynamics were observed in the normal-weighted group compared to the obese group (p<0.05). These results demonstrate that obesity affects tongue base respiratory kinematics, with longer respiratory cycles and decreased deformational changes mainly ventrally and posteriorly. These findings enhance understanding of obesity's impact on the oropharyngeal function, with implications for breathing disorders.

Human Rhinovirus (HRV) is one of the primary causes of mild upper respiratory infections and is the most common infectious agent which affects billions of humans globally. To most healthy individuals, this illness causes mild symptoms. However, in populations who have immunosuppression, comorbidities, or predisposition health issues, this virus can cause severe symptoms which can lead to possible hospitalizations and even an increased mortality rate. Given the lack of approved therapeutics for this disease, our project aims to prepare a target Phenylpropenoid, which is an organic molecule that has been previously isolated from the plant Bupleurum fruticosum and has reported antiviral qualities against HRV. Our synthetic approach toward the target compound involves a three-stage process: synthesizing a phenylpropenol fragment, preparing a bis-enoate fragment, and combining the two through esterification to access the target phenylpropenoid. We have successfully prepared the phenylpropenol fragment and are working toward accessing the bis-enoate fragment for examination in the final esterification.  Our findings will enable preparation of derivatives to assess in bioactivity studies that may provide valuable insights for future target design.

Rising atmospheric carbon dioxide levels have driven research into efficient gas separation materials. Polymers of intrinsic microporosity (PIMs) is one promising solution due to their rigid, porous structures and processability, allowing them to be turned into thin films for membrane-based gas separations. My research focuses on enhancing the carbon dioxide selectivity of helicene-based PIMs through post-synthetic modification of these polymers. I have synthesized a small molecule model of the PIM to screen for amine substitution conditions and ensure the viability of post-synthetic modification on the larger helicene-based PIM. Characterization techniques, multinuclear NMR and mass spectrometry, have verified the synthesis and amination of my model system. By incorporating nucleophilic amines into PIMs, these polymers can feature enhanced binding to electrophilic carbon dioxide, thereby increasing the interactions with carbon dioxide over other mixed gases, leading to separation. In my future studies, I will extend these modifications to the helicene-base PIM, fabricate films and evaluate their properties. Surface area measurements using N₂ gas sorption methods and CO₂ absorption isotherms will quantify gas-binding affinity and separation performance.

Transient ischemic attack (TIA) patients can still experience a recurrent stroke due to platelet-rich thrombi despite being on dual antiplatelet therapy (DAPT) consisting of acetylsalicylic acid (ASA) and a P2Y12-inhibitor. One pattern these patients have was an elevated von Willebrand Factor level (VWF), a blood clotting protein that tethers platelets to the endothelium. VWF unfolds under shear, exposes its A1 domain to which surface receptor GPIb-IX-V of platelets can bind. DAPT targets platelet activation by inhibiting thromboxane A2 synthesis and blocking ADP binding to P2Y12, but it does not directly address shear-mediated activation of platelets via VWF. Even with DAPT, platelets can still bind to VWF via GPIb-IX-V under a high shear rate. To understand the interplay between elevated VWF levels, DAPT, and platelet thrombus formation under shear flow, we used a microfluidic device to analyze platelet-rich plugs for (1) platelet activation, (2) aggregation size, and (3) contractile versus drag forces to withstand embolization. Those characteristics are measured in a healthy platelet-plug control and a platelet-plug doped with 6-fold VWF level, both with and without DAPT. We found platelet-plugs with DAPT still maintain activation, and activation level becomes higher when DAPT is combined with elevated VWF level. Platelet-plugs with DAPT and/or elevated VWF have larger aggregate size than control, and aggregate size is highest when DAPT is combined with elevated VWF level. While contractile force dominates in control, it becomes similar to drag force with DAPT and/or elevated VWF. We suspect the large size, reduced contractile force and maintained activation of platelet-plugs with elevated VWF can make the plug prone to embolization caused by the drag force. This result can shed light on the limitations of DAPT when VWF level is elevated, and introduces the possibility of screening patients for high VWF to tailor antiplatelet therapies. 

Acute Pancreatitis (AP) is a sudden inflammatory condition of the pancreas that can lead to significant mortality. Despite its rising prevalence and associated healthcare burden, treatment options remain limited to supportive care, with mortality rates in severe cases reaching 30%. Activin A is a key contributor to AP, interacting with the ACVR2A receptor to regulate various pathophysiological processes, including inflammation through immune cell recruitment. This study hypothesizes that activin A binds to ACVR2A to activate the ERK pathway, leading to increased NF-κB expression and elevated production of pro-inflammatory cytokines, including TNF-α and IL-1β. Experiments were designed using the 266-6 immortalized pancreatic acinar cell line and RAW 264.7 macrophages. These cells will be cultured for western blot analysis, ELISA assays, and transwell migration assays following activin A stimulation. Lower ERK phosphorylation and reduced NF-κB expression are expected when cells are treated with ACVR2A inhibitors in combination with activin A, compared to activin A treatment alone. ELISA assays are anticipated to confirm increased TNF-α and IL-1β production in 266-6 cells following activin A treatment. Macrophage migratory capacity is expected to increase when exposed to conditioned media from activin A-treated 266-6 cells. These findings will provide insights into the role of activin A in AP pathophysiology, potentially identifying new therapeutic targets for mitigating pancreatic inflammation and immune cell recruitment.

Circadian clocks have evolved as a powerful adaptation in response to daily environmental changes, allowing optimally timed sleep-wake cycles. The solar light-dark (LD) cycle is the dominant zeitgeber (time-giver) for entrainment (synchronization) of sleep and wake to external cues. While our lab has found that humans sleep less and later the days prior to the full moon phase where moonlight is available in the early night, moonlight was found to be an unreliable cue in determining lunar modulation of sleep for the light-polluted city population. Thus, my project investigates whether lunar cycling on activity patterns remains present without photic moonlight exposure using a diurnal non-human primate model: captive titi monkeys (Plecturocebus). The California National Primate Research Center collected titi monkey data (n=16) between 2022 to 2024 using AX3 from Axivity, a wearable data log that measures acceleration to monitor physical activity. I am using the statistical software R to derive activity onset and sleep onset/offset as phase markers of activity. Additionally, I am fitting different cosine models to a 30/15-day period, respectively lunar and semilunar, to analyze the periodic data for activity across the lunar month. We expect to see phase markers of activity oscillate with the monthly lunar phase, showing how the lunar cycle influences circadian rhythms in diurnal non-human primates, even in the absence of moonlight. This study may reveal a novel finding on lunar rhythms on activity patterns and could incur interest on how endogenous processes have adapted to the lunar cycle. Further molecular work could elucidate the neural mechanism behind lunar modulation of sleep and provide insights on improved treatment of dysregulated sleep.

The focus of this research was to test the effectiveness of a silicone-based paint in the marking of Pieris rapae in a manner that was non-invasive and durable. Previous studies have tested other marking methods but have faced challenges such as harm to the organism. By using a paint made from red cabbage (Brassica oleracea), I aim to minimize the harm to larvae in current marking methods while retaining durability under moist conditions. This experiment examined both the durability and health effects of cabbage-based paints on P. rapae caterpillars. Preliminary experiments tested a water-based version, which did not appear to affect survival but faded under moist conditions, and a silicone-based version, which withstood moisture but raised concerns about potential effects on health due to the additional ingredients required for the silicone base. My research continued testing the cabbage paint with a cosmetic-grade dimethicone base and aimed to determine the extent that the cabbage paint may have on caterpillar health and survival. Survival experiments were conducted on 4th and 5th instar caterpillars to determine larva mortality rates when exposed to the pigment. Weight change experiments were conducted from the 4th instar to pupation to be used as a metric of the overall health of the larvae. I conclude that the silicone-based cabbage pigment is a promising marking method for larger caterpillars, offering improved durability and minimal impact on overall health compared to many conventional methods. These findings contribute to the development of safe durable marking techniques suitable for ecological research on soft-bodied insects.

Previous evidence points to the benefit of early literacy intervention and support for bilingual children. Therefore, the need for culturally responsive practices in the field of speech-language pathology is essential for the growing bilingual population across all settings. Although there is substantial literature on the home literacy environment (i.e., resources and practices that families use during book reading at home), most of the existing evidence comes from monolingual children. The purpose of our research is to analyze the important relationship between child and caregiver during shared book reading to understand parents' language use and its impact on child vocabulary and grammar. Our research questions are: 1) what is the amount of book reading reported by families; 2) how much bilingual input does the parent produce; and 3) how is this related to children's vocabulary and grammatical development? We collected videos of parent-child book reading in the home and we measured vocabulary development with a parent-report vocabulary checklist in English and Spanish. We also collected environmental surveys containing questions regarding the literacy environment (e.g., duration of book reading; how often they read; and what language they read in). We hypothesize that children who receive more bilingual input during book reading will demonstrate larger vocabularies and more complex syntax. As research assistants in the Child Language Lab, we score standardized language assessments and transcribe the book reading interactions. We have completed scoring and are in the process of analyzing the data from parent report instruments and the transcribed videos. This research may identify key factors in creating an enriching, supportive literacy and language environment for developing multilingual speakers. We can use the findings of this study in the field of Communication Sciences and Disorders and may improve interventions for bilingual children, especially for daycares and preschools. 

Most human activities engage multiple brain regions simultaneously, but our ability to study this is limited by our capability to run experiments. Electrophysiology is the data-collecting technique of placing electrode probes into the brain to record the electrical activity of neurons. Currently, researchers performing electrophysiology use one or two probes. However, to record activity across many regions, researchers must use multiple probes which introduce new kinds of challenges such as ensuring accurate and reproducible positioning of several probes to target specific areas in the brain, managing probe movements to avoid collisions with each other, and preventing probes from breaking during insertion. Brain-wide coverage will require five, ten, or more probes, amplifying the challenges researchers face with just one or two probes at a time. Over the past two years, I have been developing an automation platform that can solve these challenges in electrophysiology. A key innovation is the integration of a computer-vision-based probe tracking system being developed in collaboration with the Allen Institute. This probe tracking system ensures probes can be accurately positioned on brain regions repeatably and detect when probes fail to insert into the brain, so movements are stopped before damage occurs. The automation platform will also route and manage electrode probes during experiments, preventing collisions with each other and the rig. Together these improvements ensure that electrophysiology experiments can be performed in a reliable, safe, and reproducible manner, but perhaps the biggest improvement the platform provides is efficiency. On average, it takes 15 minutes to insert one probe into the brain, meaning brain-wide experiments using eight probes may need two hours to insert manually, increasing stress on subjects unnecessarily. With automation parallelizing the process, we can reduce insertion times from 15 minutes per probe to 15 minutes flat making brain-wide electrophysiology a viable tool in neuroscience.

This study examines whether female managers foster a more employee-oriented corporate culture. I hypothesize that firms led by female Chief Executive Officers (CEOs) exhibit stronger commitments to employee well-being and Diversity, Equity, and Inclusion (DEI) initiatives compared to those led by male CEOs. To test this hypothesis, we conduct Ordinary Least Squares (OLS) regression analyses. Analyzing S&P 1,500 firms from 2001 to 2013, I find that companies led by female CEOs demonstrate stronger commitments to employee relations, diversity, and inclusion, particularly in areas such as professional development, health and safety, retirement benefits, employee involvement, no-layoff policies, union relations, workforce diversity, child labor reduction, and work-life benefits. Notably, during economic downturns like the dot-com bubble in 2002 and the financial crisis in 2008, while most firms reduced their investments in DEI, those led by female managers maintained their commitments. These findings contribute to both academic discussions and practical strategies for advancing DEI in corporate leadership, highlighting the influence of female executives in shaping corporate policies. By offering fresh insights into the role of leadership diversity in corporate culture, this study underscores the importance of inclusive leadership in fostering a more equitable workplace. As an undergraduate researcher, I find this project both intellectually stimulating and profoundly educational, providing nuanced insights into the intersection of leadership and corporate responsibility. 

In the video game Stardew Valley, the player leaves their corporate job behind to live as a farmer in the countryside, where they manage their farm, battle monsters, and build relationships with townspeople. Importantly, the aforementioned means players play at labor, spending numerous in-game hours doing physical labor (e.g. chopping down trees, tending their farm, fighting monsters) and emotional labor (e.g. giving townspeople gifts, dating). Therefore, through this project, I explore how the identities and experiences of femme-presenting and feminized people of color (POC) impact their gameplay decisions in Stardew Valley, specifically how and why they play at physical and emotional labor. The term "femme-presenting" can apply to anyone who is perceived as feminine by themselves or by others. The term "feminized" is for people who may not want to come off as femme-presenting, but often still do according to systems/society. Over the course of five biweekly meetings over roughly ten weeks, eight participants play Stardew Valley while I observe and ask questions. By reviewing the recorded gameplay footage and our conversations, I examine what each individual player prioritizes (e.g. aesthetics, narrative, money) and why they do so. My analysis of how participants play at labor relies on an understanding of how being a femme-presenting/feminized POC interacts with their additional various other identities (e.g. sexuality, ability, class) to subsequently influence their gameplay decisions. Anticipated results include participants playing at labor in Stardew Valley for the sake of escapism, a sense of control, and to build community. This study reveals the need for further interventions in video game studies which center cozy gaming spaces, femme/feminized communities of color, and feminist theorizing.

Relative Risk (RR) is a highly interpretable parameter in epidemiology and biostatistics, based on both binary input and outcome. It is frequently used in vaccine development to measure the relative efficacy between two treatment groups.
Researchers are often tempted to use generalized linear models (GLMs) to estimate the logarithmic RR with respect to a set of baseline covariates. However, this approach has inherent flaws, as GLMs do not account for variation dependence in Relative Risk on its nuisance parameters. Richardson et al. have developed an unconstrained and variation-independent doubly robust nuisance model using the log Odds Product (OP).
To expand on this work, we will explore alternative nuisance models—both those developed by us and those from other researchers—and compare their computational robustness to that of the log Odds Product (OP).
Additionally, using the brm R package (which streamlines the methods proposed by Richardson et al.), we will analyze a dataset where Relative Risk serves as the target of inference and compare these results to those obtained using regression methods.

The angiopoietin-Tie2 signaling pathway is central to regulating vascular stability, remodeling, and permeability. Angiopoietin-1 (Ang1) promotes pAKT activation and vascular stability and regeneration, whereas Ang2 antagonizes these effects, leading to leaky vasculature. Although Tie2’s association with α5β1 integrin has been implicated in mediating these divergent outcomes, the requirement of direct F-domain ligand binding for integrin recruitment remains unclear. Here, we report the development and mechanistic evaluation of a de novo designed Tie2 mini binder (Tmb) that selectively targets the Tie2 receptor without engaging α5β1 integrin. Using an AI-based protein design pipeline, we designed Tmb with high affinity (KD ≈ 0.65 nM) for Tie2, as confirmed by CryoEM analysis, which demonstrated that Tmb accurately recapitulates its designed structure. When conjugated to multivalent scaffolds, Tmb effectively clusters Tie2 receptors, recapitulating the signaling profile of native Ang1. Notably, high valency Tmb constructs (e.g., H8T) robustly activated pAKT and induced nuclear FOXO1 exclusion, mirroring the pro-survival and vascular stabilizing effects of Ang1, despite lacking the capacity to bind α5β1 integrin directly. Detailed cellular assays revealed that Tie2 clustering leads to the formation of two distinct complexes: a Tie2–α5β1 integrin complex that facilitates focal adhesion assembly and cell migration via pCAS recruitment, and a Tie2–tight junction complex (comprising ZO1, claudin-5, and occludin) that underpins vascular barrier integrity. Importantly, competitive binding studies demonstrated that integrin recruitment to the Tie2 complex does not require direct F-domain engagement. In human iPSC-derived diabetic blood vessel organoids, treatment with Tmb-based Tie2 agonists ameliorated diabetic vasculopathy phenotypes by reducing pathogenic collagen IV deposition, restoring tight junction organization, and lowering nuclear FOXO1 levels. These findings provide novel insights into the mechanistic interplay between Tie2, integrin, and junctional proteins, and underscore the therapeutic potential of synthetic Tie2 agonists in vascular repair and diabetic vasculopathy.