I am a Ph.D. candidate in Biomedical Informatics at the University of California, San Diego, advised by Dr. Ronghui Xu and Dr. Siddharth Singh. I am especially interested in how real-world evidence informs decisions across drug discovery, clinical development, and regulatory review.

My research focuses on statistical methodology and its application to causal inference to generate regulatory-grade real-world evidence. My dissertation spans both. Methodologically, I develop data-fusion methods for indirect treatment comparisons across randomized trials when head-to-head evidence is unavailable. In application, I conduct observational studies of treatment safety and effectiveness in gastroenterology, using large-scale claims and EHR data (Optum, Epic Cosmos) with target trial emulation, propensity score methods, and survival analysis.

I am currently an FDA-OCE-ASA Oncology Educational Fellow (2026–2027), one of 20 fellows selected nationwide. My work has appeared in Clinical Gastroenterology and Hepatology, JAMA Network Open, Alimentary Pharmacology & Therapeutics, Hypertension, and Annals of Surgical Oncology, among others.

Previously, I earned an M.S. in Biostatistics from UCLA and a B.S. in Public Health from National Taiwan University, and worked as a Biostatistician Intern at Foundation Medicine, Inc.