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Patrick Rebeschini is a faculty member at the University of Oxford, specializing in statistics and machine learning. He completed his Ph.D. in Operations Research and Financial Engineering at Princeton University in 2014. Following his doctorate, he joined the Yale Institute for Network Science at Yale University as a Postdoctoral Associate. He has also served as an Associate Research Scientist with a joint appointment as a Lecturer in the Computer Science Department at Yale. His research primarily lies at the intersection of probability, statistics, and computer science, focusing on the fundamental principles of high-dimensional probability, statistical optimization, and the design of computationally efficient and statistically optimal algorithms for machine learning applications.
Department of Politics and International Relations - Higher Level English requirement.