Jason Jisen Li

I study how self-interested agents learn, strategize, and settle into equilibrium.

I characterize the equilibria of mechanisms analytically, then build the algorithms and simulations that show how agents reach them. I was first author on a paper accepted for oral presentation at GameSec 2026 on the pure Nash equilibria of the affine mechanism. Alongside research I build systems — a lab information workflow at Epic, a camera-only UAV localization pipeline, a relational database engine.

Education

B.S. Computer Science

University of Wisconsin–Madison · GPA 4.0/4.0

Research interests

  • Algorithmic game theory
  • Multi-agent learning
  • Reinforcement learning
  • Strategic machine learning
  • Autonomous systems

Coursework

  • Game Theory
  • Learning Theory
  • Stochastic Processes
  • Probability Theory
  • Linear Optimization
  • Linear Algebra
  • Artificial Intelligence