In a world where innovation drives progress, the next generation of STEM leaders is already making great advancements. At St. Mark’s, the Taft STEM Fellowship empowers students to tackle real-world challenges and present groundbreaking research, proving that the future of science, technology, engineering, and math is in capable hands.
The Taft STEM Fellowship is a signature program of St. Mark’s that allows students to actively participate in authentic research and real-world exposure to the application of STEM topics through experimentation and programming. In this program, students work beyond the Advanced level in their chosen field and are involved in more than acquiring information from textbooks. Furthermore, the STEM Fellowship requires STEM fellows to conduct interdisciplinary research and effectively communicate and collaborate with their peers and mentors. The culmination of research will be a public presentation to peers, faculty, and experts in the field in the form of the Science Fair.
The 2024-2025 STEM Fellows showcased their exceptional research at prestigious competitions, earning top honors at the Worcester Regional Science Fair (WRSEF) and the Massachusetts Science Fair (MSEF). Their achievements included multiple second and third-place wins, honorable mentions, and special recognitions such as the U.S. Air Force Certificate of Achievement and the AMD Engineering Excellence Award, demonstrating the program’s commitment to excellence and real-world impact.
The following is a list of project descriptions from the STEM fellows of 2024-2025:
Cooper Wang ‘25
Black ice poses significant challenges to driving, specifically autonomous driving, due to the difficulty in detecting it and its impact on vehicle safety. Present methods for detecting black ice, although accurate, are still vulnerable to external environmental influences and cannot function in certain environments. Therefore, the research looks into novel methods of all-environment black ice detection, using inertial measurement data collected with a scale model of vehicles to train neural networks for binary classification of road conditions. The resulting method from two separate neural network structures is 98.8% and 99.5% accurate.
Vladyslav Mishyn ‘25
Ukrainian rescuers face significant challenges in rubble conditions, including restricted movement, entrapment risks, and the growing threat of secondary rocket strikes targeting first responders. To address these dangers, a universal search system was proposed to detect, locate, and transmit the location of victims, enabling rapid rescues without manual searching. The system integrates an onboard computer and a microphone array, keeping costs under $1000—three times cheaper than thermal imaging drones. The current goal is to develop a prototype capable of pinpointing a screaming victim's location within a three-meter radius.
Carey Huang ‘25
Environmental noise pollution is linked to cognitive impairment, yet its sensory mechanisms are not fully understood. This study used Drosophila melanogaster to explore the effects of loud noise during feeding on cognitive performance, using food choice behavior as a proxy for decision-making. The results revealed that wild-type flies exposed to noise showed a significant shift in food choice distribution compared to silent conditions, suggesting impaired cognitive performance. In contrast, deafened flies did not display significant changes between conditions, underscoring the role of auditory input in mediating these effects.
Adelaide (Addie) Mims ‘25
Migraine is a common neurological disorder that creates symptoms like intense head pressure and nausea, disrupting normal neurotransmission. Current treatments are hard to navigate and can be ineffective and expensive, highlighting the necessity for innovative approaches. It has recently been discovered that the gut-brain axis, which connects gut health and brain function, may play a role in migraines. This study explored the link between the gut and migraines using C. elegans as a model. Results showed that C. elegans fed the probiotic diets of Lactobacillus casei or Bifidobacterium lactis had fewer migraine-like episodes than those on a normal diet, suggesting a possible link between probiotics and migraines.
Divi Bhaireddy ‘25
Dental caries, primarily caused by Streptococcus mutans (S. mutans), is a major public health
concern. 3.5 billion people worldwide are affected by oral disease, and approximately 2 billion people struggle with dental caries. Traditional antimicrobial agents have limitations, prompting interest in natural alternatives. This study investigates the effect of bay leaf (Laurus nobilis) treatment on S. mutans biofilm formation using a crystal violet assay. Results indicate a positive
correlation between bay leaf concentration and biofilm density when treatments are highly
concentrated with bay leaf, but a negative correlation with lower concentrations, leading to increased transmittance. These findings suggest that bay leaf extract may have potential as a natural antimicrobial.
Hannah Cha ‘25
The prevalence of sleep disorders and chronic sleep deprivation in modern society has become a significant public health concern, as the consequences of inadequate sleep extend beyond mere fatigue, impacting various aspects of human health and function. This study investigates the effects of gamma-aminobutyric acid (GABA) on the recovery rate of locomotive behavior in sleep-deprived Drosophila melanogaster, utilizing the open field assay to observe their movements. Results revealed that the substitution of GABA in wild-type flies results in an increased rate of activity, whereas flies fed a traditional diet showed a continuous decrease in locomotor activity.
Mia Solomon ‘25
Parkinson's Disease (PD) is a neurodegenerative disorder affecting approximately 10 million people worldwide. With no known cure, current treatments focus on symptom
management. However, they are often expensive and come with side effects requiring additional medication. This study investigates the potential of prebiotics in modulating the severity of PD symptoms using Drosophila melanogaster as a model organism. Prebiotics were administered from embryos to assess their impact on PD symptom progression. It was hypothesized that prebiotics would improve locomotive performance in PD-affected D. melanogaster compared to untreated counterparts. While the results showed a trend toward enhanced locomotion in treated flies, they did not reach statistical significance, indicating that further research a definitive correlation.
Leo Lim ‘25
Concussion, also known as mild Traumatic Brain Injury, is prevalent among athletes, with short and long-term consequences impacting neurological health and athletic performance. Current diagnostic methods rely on subjective measurements, leading to high rates of undiagnosed concussions. This study aims to develop a multivariate logistic regression model to enhance early detection and risk assessment of adolescent concussions. Using data from federal repositories, risk factors were identified using a logistic regression model coded in the R programming language. A logistic regression model is then trained and tested with the identified factors. The model was then implemented into a ShinyApp-based website, allowing athletes to input data and receive concussion probability estimates.