Roger Grosse

Faculty Member

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Faculty Member

Associate Professor, Department Computer Science, University of Toronto

Canada CIFAR Artificial Intelligence Chair

Roger is an Assistant Professor of Computer Science at the University of Toronto, focusing on machine learning. Previously, he was a postdoc at the University of 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.

Research Interests

  • AI Alignment
  • Understanding Deep Learning
  • Efficient Second-Order Approximations for Neural Nets

Highlights

  • Alfred P. Sloan Research Fellow in Computer Science
  • Connaught New Researcher Award
  • Canada Research Chair in Probabilistic Inference and Deep Learning
  • Canada CIFAR AI Chair

Publications

Many-shot jailbreaking

Cem Anil and Esin Durmus and Nina Panickssery and Mrinank Sharma and Joe Benton and Sandipan Kundu and Joshua Batson and Meg Tong and Jesse Mu and Daniel Ford and Francesco Mosconi and Rajashree Agrawal and Rylan Schaeffer and Naomi Bashkansky and Samuel Svenningsen and Mike Lambert and Ansh Radhakrishnan and Carson Denison and Evan Hubinger and Yuntao Bai and Trenton Bricken and Timothy Maxwell and Nicholas Schiefer and James Sully and Alex Tamkin and Tamera Lanham and Karina Nguyen and Tomek Korbak and Jared Kaplan and Deep Ganguli and Samuel Bowman and Ethan Perez and Roger B Grosse and David K Duvenaud

2024

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