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Enjoy learning about our students' research!
Utilizing electroencephalogram and rotated text to investigate how early life variables drive right hemisphere compensation in participants with dyslexia
With dyslexia affecting at least 20% of the population, it is important to investigate all of the key causing factors. These factors are both genetic and environmental; however, Beatrice will focus on the environmental ones. Through investigating brain activity and environmental factors, such as parents' education and age when reading begins, Beatrice hopes to help children with dyslexia get the proper attention sooner.
Finding the effects of sustained unresponsiveness from peanut oral immunotherapy in different age populations
Peanut allergies affect about 2.5% of children in the U.S.—a 21% increase since 2010. The most common treatment, oral immunotherapy, is typically only used with children over the age of three. Spencer will analyze data from 150 patients across different age groups who have received this treatment. By comparing outcomes between these groups, Spencer hopes to identify the age cohort in which oral immunotherapy is most effective.
Toward the optimal tissue-engineered cardiac scaffold: The classification of residual proteins post antigen-removal of the scaffold to evaluate the pro-regenerative and pro-inflammatory balance necessary for immune acceptance
With the ultimate goal of creating three-dimensional bioprinted hearts available for transplantation, Anika aims to investigate how to best ensure these artificial hearts are accepted by the immune system. She plans to do so by investigating the balance of pro-inflammatory and pro-regenerative proteins and ensuring the appropriate balance is maintained. Hopefully, this research is able to save the lives of the over 64 million people suffering from heart failure.
Using an image detection model (YOLOv11) to automatize the recordings of robotic-assisted procedures within the da Vinci Xi Surgical System
The da Vinci Xi surgical system has revolutionized minimally invasive surgery but lacks key documentation capabilities, leading to labor-intensive and inaccurate data collection. Gavin aims to develop a high-accuracy AI classification model using the YOLO framework to autonomously record and predict surgical procedures within the da Vinci System. This model will enhance documentation accuracy by providing less data loss and improved data quality for training and analytics in the medical field.
Evaluating photoacid combinations for photochemical direct air capture using solar irradiation
CO2 emissions drive climate change, making carbon capture technologies essential. Sophie will evaluate photoacids for photochemical carbon capture, aiming to optimize their use across the full solar spectrum to reduce energy demands. By improving direct air capture efficiency, her work seeks to advance sustainable climate solutions.
Determining the cell cycle-dependent DNA repair and protection role of Dsup in HEK293 cells exposed to combined gamma and HZE radiation
Tardigrades, microscopic extremophiles, are renowned for their ability to endure extreme environmental stressors, a resilience attributed to intrinsically disordered proteins (IDPs). These proteins lack fixed structures, allowing dynamic roles in stress tolerance, transcription, and cellular organization. Sienna's research investigates the enhanced repair and protective mechanisms of Dsup, a key IDP in radio tolerance, notable due to its various capabilities to mitigate radiation-induced damage. Using a human stem cell line, she aims to evaluate the role of Dsup-mediated protection under a novel combined gamma radiation and HZE particle exposure. By elucidating these dynamics, Sienna’s work has transformative potential for developing radiation therapies, improving astronaut safety during space exploration, and advancing protection strategies in radiation-intensive environments.
Machine learning-enabled predictive modeling for organ preservation strategies in rectal cancer
Colorectal cancer is a leading cause of cancer-related deaths, and while total mesorectal excision is the standard surgery for rectal cancer, it often leads to severe complications. Max will use machine learning to improve patient selection for personalized treatment through the prediction of treatment response and recurrence patterns. By refining risk-stratified treatment decisions, this approach aims to reduce unnecessary surgeries and improve patient outcomes.
Examining complement protein levels in individuals with schizophrenia: Genomic insights into immune system dysregulation
Schizophrenia is a severe and debilitating psychiatric disorder, with the cause remaining unknown. Interestingly, previous research suggests that the immune system plays a role in schizophrenia. To further explore this Lindsay will look at protein levels and genomic sequencing among individuals with schizophrenia. She hopes that her research can further the association between the immune system and schizophrenia, in the end hoping to help patient outcomes.
The effect of high-intensity laser therapy (HILT) on the cytokine and growth factor profiles of equine blood-derived autologous products: Platelet-rich plasma (PRP) and autologous protein solution (APS)
Musculoskeletal injuries are a leading cause of pain and lameness in performance horses, often resulting from overexertion, trauma, or wear and tear. Riley is researching regenerative therapies like platelet-rich plasma (PRP) and autologous protein solution (APS) to improve tissue healing, as these injuries typically lead to inferior scar tissue. By investigating how high-intensity laser therapy (HILT) affects the biological profiles of PRP and APS samples, her study aims to enhance their anti-inflammatory and reparative potential, potentially optimizing treatment strategies for equine athletes.
Improving the rehabilitation of working memory in adolescents who had medulloblastoma cancer
Children who survive medulloblastoma cancer often experience issues with working memory due to either the tumor or the treatments. Reduced focus, emotional control, and cognitive function have been found to improve with neurofeedback, a non-invasive technique that trains the brain to develop healthier activity patterns. Elizabella hopes to assess a specific type of training method of neurofeedback with the goal of improving survivors’ quality of life by restoring cognitive functions such as working memory.
Improving upper-limb prosthetic performance: Analyzing the effects of wrist rotation
There are about 40,000 upper-limb amputees in the United States, but nearly half of those who want a prosthesis end up rejecting it. The main reason is that current prosthetic devices often can’t perform everyday tasks effectively. To address this, Kim aims to improve prosthesis function by adding wrist rotation, which is expected to enhance movement and make the devices more practical and acceptable.
Exploring the role of environmental factors on the disparity in IgE mediated allergic disease prevalence in Whites vs. Hispanics
Allergic diseases have historically been very common in white children and adults, but more recent data suggest that these diseases are also extremely prevalent among Hispanic children and adults, potentially even more so than in white populations. C-section delivery and antibiotic use are two factors known to disrupt the immune system, thereby increasing the risk of developing food allergies. Andrew aims to compare the prevalence of C-section deliveries and antibiotic use between whites and Hispanics and examine how these rates relate to the prevalence of allergic diseases within the two groups. This research may provide a possible explanation for the high rates of allergic disease in these populations and could help inform targeted prevention strategies in the future.
Examining the relationship between consumer values and engagement with GenAI-created advertisements along with attitudes towards AI in marketing
Generative artificial intelligence (GenAI) is being increasingly used in the marketing field, as it has many benefits and applications for advertisers, specifically in making advertisements. Josh aims to examine the relationship consumer values and attitudes have with consumer engagement with a GenAI-created video advertisement. This research has the goal of building advertisers’ understanding of consumers, and how their values impact how GenAI should be used.
Testing the efficacy of Anti-TNF therapy (which includes etanercept and infliximab) as adjunctive therapy with IVIG in Kawasaki disease patients
Kawasaki disease (KD), the leading cause of pediatric acquired heart disease in the United States, is pediatric vasculitis that causes inflammation in the circulatory and cardiovascular systems. However, Intravenous Immunoglobulin (IVIG) is the only clinically proven treatment to reduce inflammation in KD patients. To explore additional treatment options, Leo plans to conduct a meta-analysis testing the effectiveness of Anti-TNF therapies, specifically Etanercept and Infliximab.
Assessing the relationship between pre-performance routines and flow state in freestyle mogul skiing
Joey's study will explore how personalized pre-performance routines (PPRs) can help freestyle mogul skiers manage anxiety and improve flow during competition. By surveying athletes about their routines, anxiety levels, and experiences of flow, Joey aims to understand how tailored PPRs boost performance. His findings may help athletes fine-tune their routines to stay calm, perform better, and reduce their overall risk of injury.
Examining the impact of a self-compassion program on the well-being of adolescent athletes
Self-compassion, a method of treating oneself with acceptance, connectedness, and understanding during times of difficulty, has been acknowledged as a beneficial resource for athletes to promote psychological well-being. Matthew aims to examine the impact of an eight-week self-compassion program on various psychological well-being factors in adolescent athletes while also determining the role of gender in potentially limiting or augmenting the impacts of the program. His hope is that the results will provide insight into the effectiveness of self-compassion programs for adolescent athletes.
Integrating causal inference and deep learning for estimating the national burden of disease-attributable mortality to regulated air pollutants while identifying vulnerable sub-groups
Air quality regulation debates have been going on for decades, but lack scientific causal evidence as to what the thresholds for pollutants should be. Chase aims to teach AI to analyze key air pollutant records in counties, as well as health outcomes, to produce mortality burdens across the nation. In doing so, he will assess to what point lowering the threshold would be most beneficial for our country.
Deep brain stimulation of the dorsal cingulum bundle for the treatment of chronic pain
In the United States, chronic pain is one of the most widespread public health problems, as 20% of Americans suffer from this condition. Deep brain stimulation (DBS) is being investigated for the treatment and management of chronic pain because opioids, the current method of care, could have long-term adverse side effects, and may even result in death. Karis hopes to identify differences in the thalamus and insula volumes in patients with pain versus patients without to explore the mechanisms underlying dCB-DBS for chronic pain.
Exploring hedonic vs. eudaimonic video game experiences
As video games become more popular, it is becoming more essential to understand factors that differentiate between positive and negative effects of playing. Selina aims to examine the impact of players' social interactions and coping mechanisms on mood management and preference between fun vs. meaningful game experiences. Her hope is that her results will provide insight into media psychology and potential novel mental health interventions.
The characterization of structural aspects in “Siberian-like” and “Argyle-like Pink” diamonds
Pink diamonds are difficult to classify by origin because varieties from different regions often share similar features. Jeremy is using advanced imaging in his study to compare natural, lab-grown, and treated diamonds—focusing on their color, inclusions, and fluorescence. His goal is to create a reliable method that helps dealers identify pink diamonds more accurately and confidently.
Bridging languages and emotions: The role of multilingualism in social-emotional learning and development
Multilingualism enhances cognitive and social-emotional skills, yet its impact on classroom dynamics is not well understood. Claire will examine how multilingualism influences children's ability to recognize, understand, and label emotions, as well as how multilingual classrooms facilitate differences in social-emotional learning outcomes. Using data from students and teachers across Connecticut, she will explore how linguistic diversity shapes emotional development and social interactions, informing strategies for more inclusive and emotionally supportive educational practices.
Impact of social deprivation on addiction
Drug addiction affects millions globally, with many deaths each year linked to substance use. Even after long periods of abstinence, returning to environments associated with past drug use—especially in the context of loneliness—can trigger relapse. Maya will investigate how social interaction influences the brain’s addiction pathways, with the goal of improving treatments and reducing relapse rates.
The effectiveness of acupuncture and other alternative therapies to treat Gulf War veterans who suffer from depression and anxiety
Gulf War Illness (GWI) is a multi-symptom disorder that affects approximately 25% of all veterans. Due to the complex and individualistic nature of GWI, there is no standard treatment for this syndrome. Currently, to specifically address psychological problems, psychopharmaceuticals such as antidepressants are often used to help veterans. However, these psychopharmaceuticals are not effective for everyone therefore, current research looks at an alternative approach that entails the use of Eastern medicine. Heather hopes to find the most effective form of treatment through testing different combinations of alternative medicine.
Screening for receptors that can specifically activate the PI3K/AKT pathway in human skeletal muscle derived cells (SKMDC) for countering sarcopenia
Sarcopenia is a serious condition caused by aging that affects over 50 million adults worldwide. It leads to loss of skeletal muscle mass and strength and increases the risk of mortality. While exercise is the best countermeasure, some patients need drug alternatives targeting muscle growth pathways. The PI3K/AKT pathway promotes growth, whereas the RAS/RAF/MEK/ERK pathway inhibits it. Due to IGF-1’s clinical limitations, Angelina's study used western blot analysis to screen 11 alternative ligands in ciSKMDC skeletal muscle cells for pAKT and pERK activation, aiming to activate AKT and avoid activation of ERK. Among the 11 ligands tested, IL4 and IL13 were found to selectively activate the PI3K/AKT pathway with varying sensitivity, dependent on Jak/STAT signaling. IL4’s activation of PI3K/AKT suggests potential for sarcopenia treatment, improving patient outcomes. Overall, her research enhanced current understanding of chemical signaling and provided valuable insight toward disease treatment.
Investigating the relationship between perceived age, health behaviors, and mobility
Luke’s project examines how individuals’ perceptions of their own age relate to their health behaviors and physical abilities. Some people feel younger than their actual age and tend to stay more active, while others feel older and report more health problems. Using data from a large health survey, Luke will analyze patterns linking age perception with exercise, substance use, and mobility. His study aims to better understand how lifestyle and background factors influence the way humans experience aging.
Examining the influence of various training techniques on vertical jump performance
Vertical jump performance is crucial for various sports worldwide; Therefore, it is essential that athletes enhance their vertical jump height to compete at an elite level. Aidan will be conducting a vertical jump assessment for high school sprinters, long-distance runners, golf athletes, and a control group, consisting of non-athletes, to examine the differences in their vertical jump development between the pre and post-spring sports season. Aidan hopes to identify sprint training as a method for athletes to improve their sport-specific performance through improved vertical jump height.
Modulating Wnt/β-Catenin signaling during proliferation and differentiation in taste bud organoids
Cancer treatments for head and neck cancer often damage taste buds, leading to long-lasting taste loss and alteration. Understanding how taste buds develop could lead to potential knowledge in creating therapeutic medicine to regenerate taste. Emmy will look at a specific developmental pathway in taste bud formation at various levels in hopes of finding an optimal level of this pathway in order to create a way for head and neck cancer patients to taste post-treatment.
Reducing isolation and loneliness in people living with dementia (PLWD) through the use of socially assistive robotic dogs
More than 6 million people worldwide are living with dementia, a condition that affects cognitive function, emotional well-being, and social engagement. Social isolation and loneliness are common among people living with dementia, exacerbating cognitive decline and reducing overall quality of life. Socially assistive robots have emerged as a tool to foster connection and engagement by serving as a center of focus for communication. Sutton is studying the successful adoption of SARs and their impact on reducing isolation and loneliness, ultimately ensuring a more holistic approach to dementia care that supports both emotional and social well-being.
Exploring hydrogen fuel cells in electrical vertical takeoff and landing aviation
Electric Vertical Takeoff and Landing Vehicles (Evtols) are designed to take off and land vertically, offering a cleaner way to travel short distances. Most run on lithium-ion batteries, but these are heavy and limit flight time. Abigail aims to compare them to hydrogen fuel cells—an alternative that could make electric flying vehicles lighter, more efficient, and able to fly longer.
Investigating the impact of chronic vs. single-time trauma on dissociation
With the aim of enhancing early recognition and intervention for dissociation, Cashlyn will investigate how different trauma onsets influence dissociative symptoms. She proposes that single-time trauma may lead to dissociative amnesia, while chronic trauma may result in depersonalization and derealization. By analyzing trauma history and dissociative symptoms through standardized questionnaires, Cashlyn hopes her research will contribute to more effective mental health interventions before dissociation progresses to severe forms.
Comparative analysis of olfactory, semantic, and spatial cognitive function in older adults
As people age, they may experience changes in memory, attention, smell, and thinking. Chase’s project will compare older adults of varying age cohorts by assessing their performance on tests of smell, language, and spatial thinking tasks. His goal is to better understand early signs of cognitive decline and how older adults adapt to these changes.
The Detection of Fatigue in Baseball Players Through the Use of Wearable Technology to Prevent Ulnar Collateral Ligament Injuries
Ulnar collateral ligament injuries are common among baseball pitchers, often due to repetitive stress and fatigue in the kinetic chain. Existing prevention methods have had limited success, and treatment options such as Tommy John surgery have lengthy recovery times. Logan has developed a shirt with wireless accelerometer sensors that track joint movement to detect early signs of a disruption in the kinetic chain and compare data between healthy and injured players to identify patterns to help prevent UCL injuries in real time.
Investigating the potential of Vorinostat and radiotherapy to enhance tumor control while mitigating platelet suppression through bone marrow activation
Radiation is a powerful cancer treatment, but it may also damage healthy cells. Adam aims to determine whether the drug Vorinostat can make radiation more effective at killing cancer cells, and if Eltrombopag can protect the blood from harmful side effects that are caused by Vorinostat. Adam's goal is to help make treatment for aggressive cancers like neuroblastoma both safer and more effective.
Understanding siblings’ perceptions of each other as a moderator of parent-child relationships: An exploration of twin vs. non-twin sibling pairs
Sibling relationships play a key role in shaping family dynamics, particularly through factors like empathy, companionship, and rivalry. Chloe will investigate how siblings’ perceptions of each other influence parent-child interactions and whether these effects differ between twin and non-twin pairs. Her findings aim to deepen modern understanding of family relationships and inform strategies to strengthen parent-child bonds.
Examining the differing effects of physical neglect and physical abuse on the development of antisocial behavior
Child maltreatment can cause long-term mental health issues, including antisocial behavior. Kate will explore how physical neglect and physical abuse contribute differently to the development of antisocial behavior. She will use data from the National Longitudinal Survey of Youth 1997 to identify distinct patterns and predictors of antisocial outcomes. Her goal is to inform the development of more targeted and effective interventions.