Hadi Elzayn



3401 Walnut 409B, Philadelphia, PA, 19104


I am a 3rd year PhD Student in Applied Math and Computational Science at the University of Pennsylvania. I am fortunate to be advised by Michael Kearns. Before Penn, I worked at TGG Group, a consulting firm applying econometrics and behavioral science; before that, I studied Mathematics and Economics at Columbia University.


My main research interests are in algorithmic learning theory, as well as the implications of learning for societal concerns like fairness and privacy, and to markets and strategic interactions. I am also interested in the interaction between computer science and economics more broadly, especially in the areas of algorithmic game theory, mechanism design, and reinforcement learning. Ongoing projects include the following:

  • Over400: A cooperative RL algorithm trained through self play achieving human levels at an incomplete information trick-taking card game
  • Learning and Optimizing Fair Allocations
  • Privacy preservation in coordination games
  • Characterizing equilibria in strategic data acquisition
  • Learning optimal affirmative policies