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 and a Faculty Affiliate of the Vector Institute for Artificial Intelligence.
He has been recognized as part of “Innovators Under 35” by MIT Technology Review Asia Pacific in 2022 and “AI’s 10 to Watch” by IEEE Intelligent Systems in 2020. He is also the winner of the 2016 IFAAMAS Victor Lesser Distinguished Dissertation Award and the 2014-2015 Facebook PhD Fellowship.
Shah conducts research at the intersection of computer science and economics, addressing issues of fairness, efficiency, elicitation, and incentives that arise when humans are affected by algorithmic decision-making. His recent work develops theoretical foundations for fairness in fields such as voting, resource allocation, matching, and machine learning. He has co-developed the not-for-profit website Spliddit, which has helped more than 250,000 users make provably fair and optimal decisions in their everyday lives.
He earned his PhD in computer science at Carnegie Mellon University and was a postdoctoral fellow at Harvard University.