Portrait of Matt Kusner

Matt Kusner

Core Academic Member
Associate Professor, Polytechnique Montréal, Department of Computer and Software Engineering
Research Topics
AI Alignment
Deep Learning
Machine Learning Theory
Privacy
Robustness
Trustworthy AI

Biography

Matt Kusner is an Associate Professor at Polytechnique Montréal. He received his PhD in Computer Science from Washington University in St. Louis in 2016 under the supervision of Kilian Weinberger. His work was given the Turner Dissertation Award for best doctoral dissertation in Computer Science & Engineering. He was part of the first cohort of Research Fellows at the Alan Turing Institute in London, UK's National Institute for Data Science and Artificial Intelligence.

He has given talks for the Federal Reserve Banks of Cleveland and Philadelphia, the Cambridge Centre for Mathematical Sciences, and the Royal Society. His work has appeared in the Guardian, Forbes, and the Harvard Business Review.

Matt's research interests are in blackbox guarantees (e.g., generalization, privacy, verification, reproducibility, certification, identification, testing, uncertainty), evaluation standards, and AI regulation. Before joining Polytechnique Montréal, he was an Associate Professor at University College London, and earlier an Associate Professor at the University of Oxford and a Tutorial Fellow at Jesus College.