Dr. Nigam Shah

Dr. Nigam Shah is Professor of Medicine at Stanford University and serves as the Chief Data Scientist for Stanford Health Care. He is a world-renowned scientist, educator and entrepreneur with deep expertise in the application of machine learning, knowledge representation and artificial intelligence for the analysis of multiple types of health data. 

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At Stanford Dr. Shah's research develops novel techniques to analyze multiple types of health data – such as electronic health records (EHR), medical claims, wearables, weblogs, and patient blogs – to answer clinical questions, generate insights, and build predictive models for the learning health system. At Stanford Healthcare he oversees responsible use of artificial intelligence for advancing the scientific understanding of disease, improving the practice of clinical medicine and orchestrating the delivery of health care. In 2018, he created the USA's only bedside consultation service that provides a clinician with an on-demand summary of similar patients in terms of the treatment choices made and observed outcomes. This service was cited in congressional testimony by the director of the National Library of Medicine in 2019 and spun out as an independent company in 2020.

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Dr. Shah holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University. He joined the Stanford faculty in 2011 and received tenure in 2015, as the fastest and youngest tenured professor at the time. He was elected into the American College of Medical Informatics (ACMI) in 2015, was inducted into the American Society for Clinical Investigation (ASCI) in 2016, and selected into the Stanford Medicine Leadership Academy in 2017. His research has been funded by four NIH institutes, resulted in 350+ publications (h-index 88) including in JAMA, Lancet, Nature Digital Medicine and the New England Journal of Medicine receiving over 38,000 citations and has been covered in the New York Times, Wall Street Journal, Harvard Business Review, and NPR.

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Dr. Shah teaches in the Biomedical Informatics (BMI) graduate degree program, and was recognized with the Stanford Faculty Teaching Award for outstanding teaching in 2013. Since 2021, he teaches in the Master of Science in Clinical Informatics Management (MCiM) and launched the AI in Healthcare Specialization on Coursera, reaching over 50,000 students. He serves on the advising faculty of the Clinical Informatics Fellowship at Stanford Medicine.

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Dr. Shah is an inventor on nine patents and patent applications, has co-founded three companies that collectively raised over $100M in capital and serves on the Boards of Prealize Health and Atropos Health. He is a member of the National Academy of Medicine’s Digital Learning Collaborative and serves as an invited expert for the AI/ML Working group as well as a cofounder of the coalition for health AI, which provides guidelines for the responsible use of AI in healthcare.