Nigam Shah, MBBS, PhD is Professor of Medicine for Biomedical Informatics at Stanford University and in 2022 was appointed the inaugural Chief Data Scientist for Stanford Health Care, leading the effort to integrate artificial intelligence into patient care, medical research and administrative services. Shah focuses on three main areas of impact for AI in health care: advancing the scientific understanding of disease, improving the practice of clinical medicine and orchestrating the delivery of health care. In achieving these goals, he collaborates with academic groups at the Stanford School of Medicine, such as the Center for Biomedical Informatics Research, the Department of Biomedical Data Science, the Clinical Excellence Research Center, the Center for AI in Medicine and Imaging and the Human Centered AI Institute. As Chief Data Scientist, working with the Stanford Medicine Technology and Digital Solutions team, his work accelerates innovations around artificial intelligence — from development and implementation to maintenance and optimization.
Dr. Shah’s research has focused on bringing machine learning to clinical use safely, ethically and cost-effectively. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and was inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.
Bio posted January 2022