Mr Daniel Roy
University of Toronto
My research is focused on the foundational principles underlying prediction, inference, and decision making under uncertainty. This focus on foundations ties together multiple lines of work, which span machine learning, statistics, mathematical logic, applied probability, and computer science. I am an Associate Professor in the Department of Statistical Sciences at the University of Toronto, and a CIFAR Canada AI Chair at the Vector Institute for Artificial Intelligence.