I am a first year PhD student in the Khoury College of Computer Science studying Personal Health Informatics. I am a member of the UbiWell lab and am advised by Professor Varun Mishra. My research interests are in building models and tailoring architectures for wearable devices that are domain adaptive and personalizable to individual physiologies, with the goal of forecasting and acting on clinical and behavioral interventions.
My previous research as a student at Northwestern University (M.S. in Electrical Engineering) involved implementing a deep learning framework for motion correction in perfusion cardiac MRI with The Kim Cardiovascular MRI Research Group.
Additionally, I’ve worked internships in the realm of biomedical wearables, such as with Huxley Medical, Inc. and Apple (Health Technologies group).
I studied deep learning methods for motion correction in first-pass perfusion cardiac MRI, including 3D registration models and spatiotemporal architectures.
I investigated cellular markers relevant to skeletal muscle repair and used UMAP, DBSCAN, and k-means to analyze and visualize biomarker data.
Designed human studies for device prototypes and analyzed health sensing data using Python, signal processing, and feature extraction.
Developed and tested firmware for a wearable, at-home sleep apnea device and collected physiological signals including ECG, PPG, and SCG in human studies.
Designed and tested external catheter prototypes. Contributed to three patent applications for improvements to female external catheters.
Interested in wearable health research or biomedical engineering? I’d be glad to connect.