Roger Grosse
  • Assistant Professor, Department Computer Science, University of Toronto

    Co-creator, Metacademy

    Faculty Member, Vector Institute

    Canada CIFAR Artificial Intelligence Chair

    Website | Google Scholar

Research Interests

  • Algorithms for deep learning and Bayesian learning: faster training, better generalization, better uncertainty measures, easier tuning


Roger is an Assistant Professor of Computer Science at the University of Toronto, focusing on machine learning. Previously, He was a postdoc at Toronto, after having received a Ph.D. at MIT, studying under Bill Freeman and Josh Tenenbaum. Before that, Roger did his undergraduate degree in symbolic systems and MS in computer science at Stanford University. Roger is a co-creator of Metacademy, a web site which uses a dependency graph of concepts to help you formulate personalized learning plans for machine learning and related topics.


  • Connaught New Researcher Award
  • Canada Research Chair in Probabilistic Inference and Deep Learning

Research Activity and News

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Peer-reviewed papers

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