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.

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

☞ 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!

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

☞ 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.

☞ 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.