Current first year student Ph.D. student in the Department of Biomedical Engineering at Johns Hopkins University, advised by Rama Chellappa and Suchi Saria. At Hopkins, I’m working on AI & healthcare projects centered on multimodal modeling of irregularly-sampled clinical time series data, pre-surgical risk stratification with ECG, and conformal prediction of healthcare outcomes.

Prior experience

Previously, I was a post postbaccalaureate IRTA at the National Institutes of Mental Health, in the Data Science and Sharing Team and Machine Learning Team. There, I worked on projects related to predicting longitudinal mental health outcomes, detecting context-dependent changes in neural encoding, pose estimation/unsupervised behavior classification, and standardization of neuroscience data. See my Portfolio page for details.


I graduated magna cum laude from Dartmouth College in June 2021, with a double major in applied mathematics and neuroscience (high honors) and a minor in economics. I worked on research related to adaptive learning and decision making under uncertainty in Alireza Soltani's lab, and on projects related to animal tracking and behavior classification in Peter Tse's octpus lab. I was also on the men's Varsity Lightweight Rowing team.