Nigam Shah

Dr. Nigam Shah is an esteemed Associate Professor of Medicine specializing in Biomedical Informatics at Stanford University, where he also serves as the Associate Chief Information Officer for Data Science at Stanford Health Care. His research is centered on integrating machine learning with medical ontologies to enhance the learning health system, enabling better healthcare delivery and clinical decision-making. Dr. Shah has made significant contributions to the field, including being elected to the American College of Medical Informatics in 2015 and inducted into the American Society for Clinical Investigation in 2016. He holds an MBBS from Baroda Medical College, India, and a PhD from Penn State University, complemented by postdoctoral training at Stanford.In addition to his academic roles, Dr. Shah leads various initiatives in artificial intelligence and data science aimed at improving patient care through innovative technologies. He has authored over 200 scientific publications and holds eight patents related to his research. His expertise extends to analyzing diverse health data types, including electronic health records and wearable device data, to generate insights and predictive models that address pressing clinical questions. Through his work, Dr. Shah aims to bring AI into clinical practice safely and effectively, ensuring that these advancements are ethically applied in healthcare settings.