Nisarg Shah is an Associate Professor of Computer Science at the University of Toronto. He is also a Research Lead for Ethics of AI at the Schwartz Reisman Institute for Technology and Society, a Faculty Affiliate of the Vector Institute for Artificial Intelligence, and an Advisor to the nonprofit AIGS Canada. His distinctions include the Computers and Thought Award (IJCAI, 2024), the Kalai Prize (Game Theory Society, 2024), Innovators Under 35 (MIT Technology Review Asia Pacific, 2022), AI's 10 to Watch (IEEE Intelligent Systems, 2020), Victor Lesser Distinguished Dissertation Award (IFAAMAS, 2016), and PhD Fellowship (Facebook, 2014-15). His research develops theoretical foundations for algorithmic fairness across a range of domains including voting, resource allocation, matching, and machine learning. He has co-developed the not-for-profit website Spliddit.org, which has helped more than 250,000 people make provably fair decisions in their everyday lives. He earned his PhD in computer science at Carnegie Mellon University and was a postdoctoral fellow at Harvard University. 

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