Biography

I am a postdoctoral scholar at Stanford University, advised by Dr. Nima Aghaeepour, focusing on EHR-related modeling and phenotyping. My research interests lie in the application of general machine learning and deep learning methods to enhance healthcare outcomes.

Prior to my postdoctoral position, I completed my Ph.D. in Biomedical Informatics at the University of Washington in 2024, where I was mentored by Dr. Trevor Cohen. My doctoral research began with pharmacovigilance, aimed at detecting drug-adverse events from FDA reports, and progressed to developing prediction models using natural language processing for mental health-related conditions. For my dissertation, I addressed the issue of provenance shift (a type of distribution shift) and created innovative methods to mitigate its effects, under the area of NLP. Before my doctoral studies, I earned an M.S. degree in Biostatistics from Duke University, where I was advised by Dr. Benjamin Goldstein, and subsequently worked at the Hospital of the University of Pennsylvania with Dr. Danial Herman.

Play

I enjoy hiking and camping (not into backpacking yet). I love nature and wildlife photography when I’m outdoors (day and night). When I cannot, I like to cook and play games (a Nintendo fan).