School of Medicine
Showing 151-164 of 164 Results
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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.
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Harrison G. Zhang
MD Student, expected graduation Spring 2028
Ph.D. Student in Biomedical Data Science, admitted Autumn 2025
MSTP Student
Grad Student, Institute for Human-Centered Artificial Intelligence (HAI)BioHarrison is an artificial intelligence researcher, Stanford MD-PhD trainee in the Medical Scientist Training Program, and Columbia alumnus advancing precision medicine and drug discovery. He studied statistics and biology at Columbia, where he was elected to Phi Beta Kappa and awarded Magna Cum Laude with Highest Honors in Field for his academic achievements.
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Weiruo Zhang
Affiliate, Biomedical Data Science
BioDr. Zhang is currently a research engineer at the Department of Biomedical Data Science, and the data manager in the Center for Cancer Systems Biology at Stanford. Dr. Zhang completed her M.S. and Ph.D. in Electrical Engineering, both from Stanford University. Her Ph.D. studies focused on developing machine learning (ML) algorithms for metabolomics data analysis using graph theory. She received Young Scientist Award from the Metabolomics Society for her algorithm on metabolic network analysis delineating the effects of genetic mutants and drug treatment on the metabolome. Her postdoctoral studies at the Department of Radiology, Stanford School of Medicine, integrated radiomic, genomic, transcriptomic, histopathologic and clinical data that identified a prognostic metabolic regulation biomarker for non-small cell lung cancer. She has developed open-source computational tools that have been appreciated by the broad research community and industry, including the CELESTA algorithm which has been incorporated into commercial analytical platform of NanoString. Dr. Zhang's research has made significant impacts in the fields of spatial multi-omics and cancer systems biology, and she has authored and co-authored publications including Cell, Nature Methods, Nature Communications etc.
Dr. Zhang's current research at Stanford primarily focuses on developing and implementing ML/AI approaches to integrate and analyze multi-modality data, including spatial multi-omics, radiologic imaging, histopathologic images and clinical data. Her research aims at bridging the gap between underlying disease molecular/cellular biology and clinical assessment to improve diagnostics, prognostics and treatment strategies.
