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 Faculty Affiliate of the Vector Institute for Artificial Intelligence and the Schwartz Reisman Institute for Technology and Society.

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.

☞ [Dec 2021] I will be delivering an invited tutorial on participatory budgeting and participating in a subsequent panel discussion with practitioners at the WINE Conference.

☞ [Dec 2021] My students, Evi Micha and Soroush Ebadian, won graduate fellowships in the department. Congratulations to both!

☞ [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....

☞ [Dec 2021] I was an invited panelist in a panel discussion on "Eye on A.I.: The Future of Artificial Intelligence" organized by the Toronto Public Library. Check out the recording.

☞ [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).

☞ [Mar 2021] My PhD student Evi Micha was selected as a Postgraduate Affiliate by the Vector Institute.

☞ [Dec 2020] I'm honored to be selected as AI's 10 to Watch by IEEE Intelligent Systems.

☞ [Dec 2020] I am hiring up to two postdocs. The positions will start in Fall 2021 and can be for 1-2 years. Interested applicants should apply as soon as possible!

☞ [Dec 2020] I co-chaired the Focus Area on AI for Conference Organization and Delivery at AAAI-21 with David Karger.

☞ [Nov 2020] My student Evi Micha won a graduate fellowship from the Schwartz-Reisman Institute.

☞ [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.

☞ [May 2020] I co-delivered a tutorial on Recent Advances in Fair Resource Allocation with Rupert Freeman at EC-19, AAAI-20, and AAMAS-20. Check out the slides.