Resume
Academic Achievements
- 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.