Nisarg Shah headshot

Nisarg Shah

Faculty Affiliate

Associate Professor, Department of Computer Science, Faculty of Arts and Sciences, University of Toronto

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. 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. Nisarg 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 two not-for-profit websites, and, which have 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.

X (Twitter): @nsrg_shah

Research Interests

  • Fairness
  • Game Theory
  • Interpretability


  • 2022 – “Innovators Under 35” by MIT Technology Review Asia Pacific
  • 2020 – “AI’s 10 to Watch” by IEEE Intelligent Systems in 2020
  • 2016 – Victor Lesser Distinguished Dissertation Award by IFAAMAS
  • 2014 – Facebook PhD Fellowship
  • 2021 to ongoing – Coached over 500 public and private sector employees on the ethical aspects (esp., bias and fairness) of AI systems and participated in multiple open-to-public panel discussions on the subject