Dan Roy

Associate Professor, University of Toronto

Daniel Roy is a Canada CIFAR AI Chair at the Vector Institute and an Associate Professor in the Department of Statistical Sciences at the University of Toronto, with cross appointments in Computer Science and Electrical and Computer Engineering. Roy's research spans machine learning, mathematical statistics, and theoretical computer science. Roy is a recipient of an inaugural New Frontiers in Research Exploration grant, Discovery Accelerator Supplement, the Ontario Early Research Award, and a Google Faculty Research Award. Prior to joining Toronto, Roy was a Research Fellow of Emmanuel College and Newton International Fellow of the Royal Society and Royal Academy of Engineering, hosted by the University of Cambridge. Roy completed his doctorate in Computer Science at the Massachusetts Institute of Technology, where his dissertation was awarded the MIT EECS Sprowls Award, given to the top theses in computer science in that year.

Program Visits

Learning and Games, Spring 2022, Visiting Scientist
Foundations of Deep Learning, Summer 2019, Visiting Scientist
Foundations of Machine Learning, Spring 2017, Visiting Scientist