School of Medicine
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Christine Yiwen Yeh
MD Student, expected graduation Spring 2027
Ph.D. Student in Biomedical Data Science, admitted Autumn 2020
MSTP StudentBioChristine Yeh is an aspiring physician-scientist with academic training and industry experience in translational bioinformatics and data science. Christine is currently completing her final year of the Stanford Medical Scientist Training Program (MSTP). She is interested in advancing cancer care through the integration of clinical oncology, computational cancer biology, and translational research, with the goal of developing more precise and effective therapies.
In June 2025, she completed her PhD in Biomedical Data Science. In her doctoral work she developed novel un-/self-supervised machine learning/artificial intelligence (ML/AI) methods grounded in algorithmic fairness; applied to single-cell spatial transcriptomics and CRISPR-based functional genomics, her work identified mechanisms of immune evasion and therapeutic vulnerabilities in tubo-ovarian cancer.
Prior to MSTP training, Christine was a computational structural biologist and drug discovery scientist at D. E. Shaw Research in New York City. There, she built ML/AI algorithms for investigating protein structural dynamics and worked on several early drug discovery programs for diabetes and immuno-oncology indications. Christine’s drug target panel included non-receptor protein tyrosine phosphatases encoded by PTPN1 and PTPN11. Her work led to peer-reviewed publications and a novel small molecule therapeutic that advanced to early phase clinical trials. -
Hung-Hsuan (Dean) Yen
Affiliate, Biomedical Data Science
Visiting Scholar, Biomedical Data ScienceBioI am Hung-Hsuan (Dean) Yen, MD, a Clinical Assistant Professor of Surgery and an attending general surgeon in Taiwan. I specialize in upper gastrointestinal surgical oncology, particularly gastric and esophagogastric cancer surgery, with a clinical focus on minimally invasive laparoscopic and robotic surgery. My academic interests include surgical data science, surgical video analysis, computer vision, and AI-based assessment of surgical quality, safety, and competency. Since September 2026, I have been visiting Stanford University MARVL for a two-year research visit.
