Eric Horvitz is a Distinguished Scientist at Microsoft Research with groups focusing on probability theory, machine learning and inference, human-computer interaction, search and retrieval, and e-commerce. His is passionate about using decision analysis for building insights and guiding action in technical, policy, and personal arenas. His current research centers on the challenges of developing computational systems that can assist people with making better decisions or that perform autonomous decisions under uncertainty.
Dr. Horvitz has worked on decision problems and systems in several domains, including challenges in healthcare, transportation, and energy. He is a fellow of the American Association for the Advancement of Science (AAAS) and of the Association for the Advancement of Artificial Intelligence (AAAI). He is Associate Editor of the “Decisions, Uncertainty, and Computation” section of the Journal of the ACM, and serves on the editorial board of Decision Analysis. He has served as President of the AAAI, on the NSF Computer and Information Science and Engineering (CISE) Advisory Board, the council of the Computing Community Consortium (CCC), and the DARPA Information Science and Technology Study Group (ISAT). Dr. Horvitz received a PhD and MD from Stanford University, focusing in his doctoral work on time-critical decision making. More information can be found at http://research.microsoft.com/en-us/um/people/horvitz/.