Stanford University
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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 a sixth year MD/PhD candidate in the Medical Scientist Training Program (MSTP) at Stanford. 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 a novel unsupervised machine learning pipeline grounded in principles of algorithmic fairness and applied it to single-cell spatial transcriptomics and CRISPR-based functional genomics to identify mechanisms of immune evasion and therapeutic vulnerabilities in tubo-ovarian cancer. Prior to MD/PhD training, Christine was a computational structural biologist and drug discovery scientist at D. E. Shaw Research in New York City. There, she built machine learning 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 describing lead compounds and a novel small molecule therapeutic that advanced to and completed early phase clinical trials.
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Bill Yen
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Student Assistant, Electrical EngineeringBioBill Yen is a Ph.D. candidate in the Department of Electrical Engineering at Stanford University working in the area of low-power Internet of Things (IoT) systems. He is an interdisciplinary maker and environmental scientist passionate about solving issues related to food, water, and energy using smart technologies.
Yen's experience in industry (General Motors, CNH Industrial) and academic research (Northwestern - soil-powered computing, Stanford - low-power wireless communication) cultivated his interest in designing self-powered computing devices that boost system efficiency while lowering the environmental impact of existing processes. His work has been featured by The Independent, Fast Company, MIT Technology Review China, Hackster.io, and more. He is also a recipient of the Stanford Graduate Fellowship in Science & Engineering.
