School of Medicine
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Professor of Biomedical Data Science and of Statistics
Current Research and Scholarly Interests Statistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.
Assistant Professor of Biochemistry and of Biomedical Data Science
Current Research and Scholarly Interests Circular RNA regulation and function; computational and experimental approaches
Nigam H. Shah, MBBS, PhD
Associate Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly Interests My research group studies ontology-based approaches to annotate, index, integrate and analyze unstructured information available in biomedicine for the purpose of enabling data-driven analytics in medicine and health care.
Research Engineer, Biomedical Data Science
Current Role at Stanford Primarily collaborating with VA researchers on GWAS using MVP data. Also providing statistical support to some Stanford clinicians conducting investigational research.
Jaap Suermondt, PhD
Executive Director, Biomedical Informatics Training Program, Biomedical Data Science
Bio I’m the Executive Director of Stanford’s Biomedical Informatics Program. I am also an advisor to Stanford’s Population Health Sciences Program and participating faculty in Stanford’s Clinical Informatics Fellowship Program. I’m active in the Silicon Valley ecosystem as a mentor to startup founders, occasional investor, and strategic advisor -- all this obviously while being observant of and compliant with Stanford's policies and conflict of interest and commitment constraints. Throughout my career, I have been an operational and strategic executive with a track record in applied innovation and deep industry, GTM, and technical expertise.