
Google DeepMind
VP Research
via Google DeepMind
Researcher · Academic
Visiting Researcher, Science and Strategic Initiatives at Google DeepMind
Professor of Statistics and Computer Science (on leave) at University of Toronto
Roy studies the mathematical foundations of prediction and decision-making under uncertainty. His work connects machine learning with Bayesian statistics, probability and logic; at Google DeepMind he is now exploring how AI can accelerate mathematical research while remaining a University of Toronto professor.
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Google DeepMind
University of Toronto
Vector InstituteWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Last editorial review: August 9, 2026