Nisarg Shah

Nisarg Shah is an Associate Professor in the Department of Computer Science at the University of Toronto, affiliated with the Theory Group. He also serves as a Research Lead at the Schwartz Reisman Institute for Technology and Society and a Faculty Affiliate at the Vector Institute for Artificial Intelligence.

• Education:
  • Ph.D. in Computer Science, Carnegie Mellon University (2016)
  • B. Tech. with Honors in Computer Science & Engineering, IIT Bombay (2011)

Shah's research focuses on the theoretical foundations of artificial intelligence, particularly algorithmic fairness, social choice theory, game theory, and mechanism design. His work addresses fair resource allocation, strategic agent behavior, and robust AI system design through interdisciplinary approaches combining computer science, economics, and cognitive psychology.

Recent publications highlight temporal fair division, constrained allocations, and market value integration in fair division. His 2024 awards include the prestigious IJCAI Computers and Thought Award and Kalai Prize for game theory contributions.

• Scientific Awards:
  • 2024 - IJCAI Computers and Thought Award
  • 2024 - Kalai Prize in Game Theory and Computer Science
  • 2022 - MIT Technology Review Innovators Under 35
  • 2020 - IEEE Intelligent Systems AI's 10 to Watch
  • 2016 - Victor Lesser Distinguished Dissertation Award (IFAAMAS)
  • 2014 - Facebook Graduate Fellowship
  • 2013-14 - Hima and Jive Graduate Fellowship
  • 2011 - IIT Bombay President's Gold Medal

Shah supervises numerous graduate students across diverse institutions and leads research initiatives at the intersection of technology and society. His lab collaborates with institutions like Carnegie Mellon University and Harvard University, while developing practical applications such as Spliddit.org for fair decision-making in everyday life.