First year Ph.D. student at Johns Hopkins University, Department of Biomedical Engineering. Advised by Rama Chellappa (primary) and Suchi Saria. Working on projects related to multimodal modeling of irregularly sampled clinical time series data, pre-surgical risk stratification with ECG (with Robert Stevens), and conformal prediction of healthcare outcomes (with Prasanna Santhanam).

I spent two years as a postbaccalaureate IRTA at the National Institutes of Mental Health, in the Data Science and Sharing Team and Machine Learning Team. I worked applied projects realted to machine learning to healthcare and neuroscience. In particular:

• [Applied ML]: Machine learning models for predicting longitudinal mental health outcomes during the COVID-19 pandemic
• [Stat. methods]: Detecting context-dependent changes in neural encoding from longitudinal electrophysiological recordings
• [Applied ML]: 3D pose estimation & unsupervised behavior classification of animals in video
• [Open science]: Improving standardization of two-photon and holographic photostimulation archival data formats

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.