Kuan-Hung Yeh

Hi! I’m a Ph.D. candidate in Biomedical Informatics at the University of California, San Diego, advised by Dr. Ronghui Xu and Dr. Siddharth Singh.

I’m a quantitative researcher in biomedical science, passionate about using statistics to improve population health. My work focuses on causal inference, target trial emulation, and survival analysis applied to large-scale claims and EHR data, and my dissertation develops data-fusion methods for indirect treatment comparisons across randomized trials — for settings where head-to-head evidence isn’t available. With 5+ years of research experience collaborating with experts across biotech, national labs, universities, and hospitals, my goal is to turn complex biomedical data into evidence that supports treatment evaluation, regulatory decision-making, and better care.

My research spans gastroenterology, cardiology, and oncology, with publications in Clinical Gastroenterology and Hepatology, JAMA Network Open, Hypertension, and Annals of Surgical Oncology, among others.

Previously, I earned an M.S. in Biostatistics from UCLA, where I worked on mediation analysis for a three-arm randomized controlled trial and a PGS-based risk stratification model in a survival analysis setting. I also worked as a Biostatistician Intern at Foundation Medicine, Inc., where I verified assay performance for FoundationOne® Liquid CDx (F1LCDx) and designed new study criteria for diagnostic assay precision. Before that, I completed a B.S. in Public Health at National Taiwan University, where I built the first Asian colon cancer prognostic model using national registry data.

Here is my Blog and Curriculum Vitae. Thanks for reading and taking the time to comment :)