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Daniel Roy is a CIFAR AI Chair at the Vector Institute and a professor in the Department of Statistical Sciences at the University of Toronto. His research focuses on the interplay of machine learning, theoretical statistics, and mathematical statistics. He has made significant contributions to areas such as statistical learning theory, online learning, and probabilistic programming. Roy is a recipient of several prestigious awards, including the NSERC Discovery Accelerator Supplement and the Ontario Early Research Award. Before joining the University of Toronto, he was a Research Fellow at Emmanuel College and a Newton International Fellow at the University of Cambridge. He completed his PhD at the Massachusetts Institute of Technology (MIT), where his dissertation received the MIT EECS Sprowls Award for the best thesis in computer science for the year.
Department of Sociology