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Ziad Obermeyer is an assistant professor at Harvard Medical School and a practicing emergency physician at the Brigham and Women's Hospital, both in Boston. His research leverages electronic health data, in combination with analytic tools from the field of machine learning, to study clinical decision making for critically ill patients, at key points in their disease trajectories. He is a recipient of an Early Independence Award from the NIH Common Fund.
Ameet Sarpatwari is an Instructor in Medicine at Harvard Medical School, an Associate Epidemiologist at Brigham and Women’s Hospital, and Assistant Director of the Program On Regulation, Therapeutics, And Law (PORTAL) within the Division of Pharmacoepidemiology and Pharmacoeconomics. His research draws upon his interdisciplinary training as an epidemiologist and lawyer and focuses on the effects of laws and regulations on therapeutic development, approval, use, and related public health outcomes.
Nathan Cortez is the Callejo Endowed Professor of Law and the Associate Dean for Research at the Southern Methodist University (SMU), Dedman School of Law. He teaches courses on health care regulation, biotechnology, and the legislative and regulatory processes. His recent research focuses on big data and artificial intelligence in health care, FDA regulation of mobile health technologies, and data disclosure initiatives by federal regulators. He has worked recently on projects with the Administrative Conference of the United States (ACUS), UT Southwestern Medical Center, and the Center for Global Health Impact. Professor Cortez regularly publishes in and conducts peer reviews for many of the leading legal and medical journals in the country. He received his B.A. from the University of Pennsylvania and his J.D. from Stanford.
Nicholson Price is an Assistant Professor of Law at the University of Michigan Law School. He holds a PhD in Biology and a JD, both from Columbia, and an AB from Harvard. He teaches patents and health law, and studies innovation in the life sciences, with a recent focus on big data and machine learning in medicine. His work has appeared in Nature, Science, Nature Biotechnology, the Harvard Journal of Law and Technology, and elsewhere.