A pediatric endocrinologist by training, Atul is an expert and pioneer in the field of Big Data and its uses in biomedicine. He is the Priscilla Chan and Mark Zuckerberg Distinguished Professor of Pediatrics and Director of the Institute of Computational Health Sciences at the UCSF. He is also the Executive Director for Clinical Informatics across the six University of California Medical Schools and Medical Centers. Previously, he was an Associate Professor of Pediatrics, Medicine, and Computer Science, at Stanford University and the Lucile Packard Children’s Hospital. He is the scientific founder of three investor-backed, data-driven companies: Personalis, Carmenta, and NuMedi. He has authored more than 200 publications. Atul was elected into the National Academy of Medicine in 2015 and recognized by the White House as an Open Science Champion of Change for promoting science through publicly available data in 2013. He also is a principal investigator of three major programs: the California Initiative to Advance Precision Medicine; ImmPort, the clinical and molecular data repository for the National Institute of Allergy and Infectious Diseases; and the California Precision Medicine Consortium. Atul trained in Computer Science at Brown University, worked as a software engineer at Apple and Microsoft, received his MD at Brown University, trained in Pediatrics and Pediatric Endocrinology at Children’s Hospital Boston, then received his Ph.D. from Harvard Medical School and Massachusetts Institute of Technology.
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