Tegan MaharajCAUniversity of Toronto
2:30 pm_3:30 pm
Tegan Maharaj is an Assistant Professor in the Faculty of Information at the University of Toronto, an affiliate of the Vector Institute and Schwartz-Reisman Institute for Technology and Society, and a visiting researcher at the Centre for the Study of Existential Risk at Cambridge University. They are also a managing editor at the Journal of Machine Learning Research (JMLR), the top scholarly journal in machine learning, and co-founding member of Climate Change AI (CCAI), an organization which catalyzes impactful work applying machine learning to problems of climate change. Prior to joining the iSchool, Maharaj did their PhD at Mila and Polytechnique Montreal, where they were an NSERC and IVADO awarded scholar with Chris Pal. Their recent research has two themes (1) Real-world generalization, learning theory, and practical auditing tools to empirically evaluate learning behaviour or simulate deployment of an AI system (2) Deep representation learning & predictive methods in ecological dynamical systems for impact assessment, policy analysis, and risk mitigation, especially for climate and common-good problems.
University of Toronto