I am interested in the intersection of computer science and healthcare, particularly in the development of medical assistive technologies and the application of machine learning to genomic data analysis.

Some of my past research experiences include developing a 3D environment for ALS patients to communicate and play games using eye gaze through the Stony Brook University Computer Science and Informatics Research Experience and analyzing the utility of classification-based machine learning models in predicting the outcomes of bone marrow transplants. My research paper based on my findings was accepted for publication pending presentation changes in Harvard’s Journal of Emerging Investigators.

On campus, I serve in the community development committees of both the Society of Women Engineers and Women in Computer Science, as well as the Penn Apps creative committee. Additionally, I am the Software Development Chair of Penn Math Competition. 

My research interests lie primarily in computer science and physics, as I have done past research in particle physics at the University of Mississippi and in data systems at Boston University's Data-intensive Systems and Computing Lab. I hope to develop my research skills further as a University Scholar.

• Software Development Engineer Intern at Amazon Web Services
• Second author of "Deep Learning Respiratory Motion Correction for Real-Time Cardiac MRI," accepted at the Radiological Society of North America
• Research Assistant to Dr. Duncan Watts, Computational Social Science Laboratory

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.