Pratik Shah

Dr. Pratik Shah is a professor at the University of California and the principal investigator and director of a computational medicine research program. He holds faculty appointments in the departments of Pathology & Laboratory Medicine, Electrical Engineering & Computer Science, and Biomedical Engineering. Dr. Shah’s research group integrates hypothesis-driven deep learning, engineering, and biomedical science to advance the diagnosis and treatment of cancer, infectious diseases, and neurological disorders. His lab focuses on developing translational medical technologies by uncovering novel biological and clinical insights. This research spans engineering, biomarker imaging, machine learning, and clinical assays, leading to innovative digital diagnostics and therapeutics.

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Dr. Shah is an expert in the clinical translation of research findings, particularly in real-world deployment platforms designed to provide equitable and affordable healthcare. Research from his lab has been published in Cell Press, Nature Digital Medicine, and Journal of the American Medical Association. Dr. Shah serves as an expert reviewer for national grant panels on emerging technologies, and on advisory committees for generative AI regulation with government agencies and nonprofit foundations.

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Dr. Shah’s past honors include the American Society for Microbiology’s Raymond W. Sarber National Award, a postdoctoral fellowship award from the Harvard Medical School and Massachusetts General Hospital’s ECOR Fund for Medical Discovery, the AAAS-Lemelson Foundation Invention Ambassador award, and media coverage from leading national and international outlets. He has been an invited speaker and author at leading conferences, including the IEEE International Symposium on Biomedical Imaging (ISBI), the American Association for the Advancement of Science, Cold Spring Harbor Laboratory, TED, Proceedings of the National Academies of Sciences, Engineering, and Medicine workshops, and various machine learning venues.

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Previously, Dr. Shah was a Principal Investigator at the Massachusetts Institute of Technology (MIT), where he led a computational medicine research program at the MIT Media Lab. He also served as the principal investigator on a memorandum of understanding with the U.S. FDA to establish AI and machine learning research ecosystems for clinical development. Dr. Shah holds a BS, MS, and PhD in biological and data sciences and completed fellowship training at Massachusetts General Hospital, the Broad Institute of MIT and Harvard, and Harvard Medical School.