-Faculty Member and Professor, Pathology, Director Computational Medicine Research Program, School of Medicine
-Faculty Member and Professor, Biomedical Engineering, The Henry Samueli School of Engineering
-Faculty Member and Professor, Electrical Engineering and Computer Science, The Henry Samueli School of Engineering
Research Overview: Dr. Shah's lab focuses on hypothesis-driven deep learning, generative AI, biomedical engineering, and clinical research to develop technologies for diagnosing and treating cancer, infectious diseases, and neurological disorders. The research group combines and invents novel deep learning, biological, and statistical methods to tackle challenges in personalized medicine. Dr. Shah's work includes advancements in generating novel medical images for unbiased, patient-centered care, cancer diagnostics at the cellular level using companion diagnostic assays, and evaluating the impact of clinical decision-making on infectious diseases and antimicrobial therapy — all within a unified theoretical and methodological framework. Dr. Shah and his team are developing a dynamic, living-systems framework for computational medicine, transitioning from static models to real-time, systems-wide perspectives on molecular and clinical processes. Their goal is to invent and deploy equitable medical technologies that improve patient outcomes and public health.
Short Bio: Dr. Pratik Shah is a professor at the University of California and holds tenure-track faculty appointments in the academic senate lines of Pathology & Laboratory Medicine, Electrical Engineering & Computer Science, and Biomedical Engineering. Recent work from his lab has been published in Cell Press, Nature Digital Medicine, Cell press, Journal of American Medical Association, leading machine learning conferences, and workshop proceedings of The National Academies of Science Engineering and Medicine. Previously, Dr. Shah was a Principal Investigator at the Massachusetts Institute of Technology (MIT), where he led a computational medicine program at the MIT Media Lab. He also served as the principal investigator for a memorandum of understanding with the U.S. FDA, aimed at establishing 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.