I am an Assistant Professor in the Department of Computer Science at the University of Toronto. I am part of the Theory Group, and work on theoretical foundations of artificial intelligence. I am also a Research Lead at the Schwartz Reisman Institute for Technology and Society and a Faculty Affiliate of the Vector Institute for Artificial Intelligence.
I work on problems at the intersection of computer science and economics, such as deciding how to aggregate individual preferences to make collective decisions (social choice theory), learning how self-interested agents behave in a system (game theory), and designing systems that perform well in the presence of self-interested agents (mechanism design). My recent work focuses on building theoretical foundations of algorithmic fairness, and in particular, applying fairness notions developed in the economics literature to algorithmic decision-making. Check out my publications.
☞ [Jul 2022] I have been appointed a Research Lead by the Schwartz Reisman Institute for Technology and Society. I am excited to help develop SRI's research vision, especially surrounding the issue of algorithmic fairness, and make it a reality.
☞ [Jul 2022] I will present an invited tutorial and serve as an invited panelist in the 6-week course on Bias in AI: Practical Examples in NLP & Computer Vision at the Canada Revenue Agency.
☞ [Jul 2022] My PhD student, Evi Micha, won the General Motors Women in Science and Mathematics Award. Congratulations!
☞ [Dec 2021] I delivered an invited tutorial on participatory budgeting and participating in a subsequent panel discussion with practitioners at the WINE Conference.
☞ [Dec 2021] I was invited to talk about "Fairness and Explainability in AI" in the Vector Institute's Trustworthy AI Project.
☞ [Dec 2021] I was invited to give a seminar at the Regional Municipality of York on "Fairness and Bias in AI" with focus on the use of AI in the public sector. The event was organized by the Vector Institute for Artificial Intelligence. The seminar was attended by over 60 participants. A Twitter thread with interesting takeaways is coming soon....
☞ [Oct 2021] I was invited to give a seminar at the Canada Revenue Agency on "Fairness and Bias in AI", organized by the Vector Institute for Artificial Intelligence. The seminar was attended by almost 400 participants. A Twitter thread with the graphical recording and interesting takeaways is coming soon...
☞ [Jun 2021] I was an invited panelist in a panel discussion on Fairness in AI, organized by the Vector Institute for Artificial Intelligence and Ontario Centre of Innovation. Check out this Twitter thread on interesting takeaways.
☞ [Apr 2021] My ex-PhD student Tyrone Strangway, who is now a postdoctoral fellow at the Ben-Gurion University, won the 2021 Best PhD Dissertation Award by the Canadian Artificial Intelligence Association (CAIAC).
☞ [Dec 2020] I'm honored to be selected as AI's 10 to Watch by IEEE Intelligent Systems.
☞ [Dec 2020] I co-chaired the Focus Area on AI for Conference Organization and Delivery at AAAI-21 with David Karger.
☞ [July 2020] I co-organized the first Workshop on the Distortion and Information-Efficiency Tradeoffs at EC-20 with Elliot Anshelevich, Aris Filos-Ratsikas, and Alex Voudouris.