Learning Algorithms

  • Reinforcement learning with provable results.
  • Bayesian (simulation) optimization.

Joint work with IEOR, Columbia University.


  • Multimodal transportation systems include microtransit, micro-mobility, and ride-hailing.
  • Transportation policy.
  • Smart parking.

Joint work with Ford School of Public Policy, UMTRI, CEE, U-M; Environmental Studies, UC Santa Cruz; CEEM, Columbia University; NYU Shanghai.

Game Theory

  • Incentive contracts and dynamic games.
  • Information design in transportation systems.

Joint work with ORIE, Cornell University.