Dr. Shah directs a computational medicine research group at the University of California Irvine, and is a faculty member and tenure line assistant professor in the Department of Pathology and Laboratory Medicine in the School of Medicine. His lab is interested in hypothesis-driven deep learning, engineering, and biomedical research to discover novel biological and clinical knowledge for inventing translational medical technologies to diagnose and treat cancer, infectious, and neurological diseases. Our ongoing and past research has reported several novel and unorthodox technology solutions encompassing engineering, biomarker imaging, machine learning and clinical data to invent digital diagnostics and therapeutics. Dr. Shah has expertise in clinical translation of his research findings through real-world deployment platforms that can provide inclusive and affordable healthcare. Recent work from the group conceptualized, funded and directed by Dr. Shah has been published in Cell Reports Methods, Nature Digital Medicine, Cell Press, Journal of American Medical Association, and workshop Proceedings of The National Academies of Science Engineering and Medicine. Dr. Shah serves on the grant reviewer board of government agencies and non-profit foundations.
Past acknowledgments include the American Society for Microbiology’s Raymond W. Sarber National Award, a Harvard Medical School and Massachusetts General Hospitals ECOR Fund for Medical Discovery postdoctoral fellowship, AAAS-Lemelson Foundation Invention Ambassador award, and coverage by leading national and international news media outlets. Dr. Shah has been an invited discussion leader at Gordon Research Seminars; a speaker at American Association for the Advancement of Sciences, Cold Spring Harbor Laboratories, Gordon Research Conferences, The National Academies of Sciences, Engineering and Medicine, TED and IEEE bio-engineering conferences; and a peer reviewer for leading scientific publications. Dr. Shah served as the principal investigator on the memorandum of understanding with the United States FDA to engender AI and machine learning research ecosystems for clinical development. Prior to his recruitment to the University of California, Dr. Shah was a Principal Investigator directing and leading a computational medicine research program at the Massachusetts Institute of Technology (MIT). Dr. Shah has BS, MS, and PhD degrees in biological and data sciences, and completed fellowship training at Massachusetts General Hospital, the Broad Institute of MIT and Harvard, and Harvard Medical School in Boston, MA.
Read more about Pratik's research here.
Watch Pratik's TED talk on biomarker prediction from low-cost images using machine learning here.