Tegan's research seeks to understand AI systems in realistic settings, in order to ensure their responsible use. At CSER, Tegan examines the use of AI in forecasting and mitigating risk. Tegan is an Assistant Professor in the Faculty of Information at the University of Toronto, where she is an affiliate of the Schwartz-Reisman and Vector institutes. Her background is in deep representation learning, as a PhD at Mila and Ecole Polytechnique in Montreal.
Peer-reviewed paper by Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine Wang, Adrian Weller, Markus Anderljung, Igor Krawczuk, David Krueger, Jonathan Lebensold, Tegan Maharaj, Noa Zilberman
Paper by Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
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