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2017 GTC San Jose

Daniel Rubin

Associate Professor of Biomedical Data Science, Radiology, Medicine (Biomedical Informatics Research), and by courtesy, Ophthalmology, Stanford University

Speaker Bio

Daniel L. Rubin, M.D., M.S. is associate professor of biomedical data science, of radiology, of medicine (biomedical informatics research), and of ophthalmology (by courtesy) at Stanford University. He is radiologist, director of biomedical informatics at the Stanford Cancer Institute, and director of the Scholarly Concentration in Informatics at the Stanford School of Medicine. His NIH-funded research program focuses on the intersection of biomedical informatics and imaging science, developing machine learning methods and applications to leverage information in images combined with clinical and molecular data to characterize disease, identify best treatments, and improve clinical decision making. His group translates these methods into practice through applications to improve diagnostic accuracy and clinical effectiveness. Daniel is a fellow of the American College of Medical Informatics and has published over 200 scientific publications in biomedical imaging informatics and radiology.

Speaker Sessions