Publications: 'ER-Reason: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room' and several other preprints and conference papers; received the Outstanding Paper Award at EMNLP 2023.
Research Experience
Interned with the Health Futures team at Microsoft Research (MSR).
Education
Ph.D. student at University of California, Berkeley, co-advised by Dr. Ahmed Alaa and Dr. David Bamman; M.S. from the University of Pennsylvania; B.A. from Claremont McKenna College; also pursuing an M.S. in Computer Science (with a minor in Computational Precision Health) through a joint program with the University of California, San Francisco.
Background
Research interests: developing and applying machine learning and statistical methods to address critical challenges in medicine, specifically using large language models, time-series analysis, and probabilistic techniques to model chronic disease progression and improve clinical decision-making. Works closely with physicians at UCSF on model evaluation. Broadly interested in building reliable, interpretable AI systems in medicine.
Miscellany
Links to Google Scholar, GitHub, LinkedIn, Twitter, and other personal academic resources are provided on the personal website.