Stanford Graduate School of Business
Associate Professor of Medicine

Dr. Shah's lab develops methods to annotate, index and analyze large unstructured datasets for enabling use cases of the learning health system. Their research group is part of the Center for Biomedical Informatics Research at Stanford and the National Center for Biomedical Ontology.

They combine machine learning, text-mining, and prior knowledge in medical ontologies to discover hidden trends, build risk models, drive data driven decision making, and comparative effectiveness studies. They have shown that using unstructured data, it is possible to monitor for adverse drug events, learn drug-drug interactions, identify off-label drug usage, generate practice-based evidence for difficult-to-test clinical hypotheses, identify new medical insights, and generate phenotypic fingerprints as well as build predictive models. They have efforts around combining multiple information sources for drug safety surveillance, which were recently the focus of a commentary titled Advancing the Science of Pharmacovigilance.

Read about executive education

Other experts

Joseph P. Kalt is Ford Foundation Professor (Emeritus) of International Political Economy. His research focuses on exploring the economic implications and political origins of the government regulation of markets. He also heads the Harvard Project on American Indian Economic Development. Kalt has...
Biography Michaela Pagel is an Assistant Professor at Columbia Business School. She received her Ph.D. from the Economics Department at UC Berkeley and works on topics in household finance. Her current work focuses on the consumption and investment implications of non-standard preferences. More s...
ACADEMIC DEGREES 2007 University of Bergen Ph.D Dr. Polit. 1999 University of Oslo Master Cand. Polit. 1995 University of Oslo Bachelor WORK EXPERIENCE 2016 - Present Norwegian Academy of Music Adjunct Professor 2013 - Present BI Norwegian Business School Professor 2010 - ...