As a third-year bioengineering major, I’m enthusiastic about studying the intersections between my major and neurology through translational research. A majority of my work concerns the application of neuromodulation (modifying neural activity by delivering electric/magnetic impulses) and how these techniques can be used to clinically alleviate cognitive impairments in various mechanisms of disease/injury (stroke, dementia, small vessel disease, etc). With UScholars' support in Summer 2025, I've continued my research with Dr. Kelly Sloane at the Laboratory for Cognition and Neural Stimulation (LCNS) while exploring new areas of interest. These projects range from benchmarking large language models (LLMs) as alternative methods to automate time and labor-intensive processes in the transcription of impaired speech to surveying healthcare providers and patients to evaluate the quality of care in post-stroke patients. Outside of research, I enjoy perusing through second-hand bookstores and learning trendy choreographies that I find on YouTube with friends.

• Peer Mentor Group Lead
• SEAS Orientation Peer Advisor

I'm interested in the applications of machine learning in various sectors, including finance, neuroscience, and climate change. At Penn, I work in the Weber Lab using LSTM and CNN machine learning models to detect p-waves (brief peaks linked to brain state transitions) during sleep in both mice and humans, using EEG and LFP recordings. I have also conducted research under Professor Charles Yang in the Linguistics department, where I modeled how children learn pattern recognition using cognitive science principles. Previously, I have worked on research projects related to climate change, snowfall and weather prediction, and simulating space weather in the Earth’s magnetosphere. Outside of research, I’m a CIS 1200 TA, in Theta Tau, and involved with PennApps. Recently, I’ve been exploring software engineering through full-stack web development at a fintech company.