Learning Algorithms

  • Reinforcement learning with provable results.
  • Bayesian (simulation) optimization.
  • Online resourcing allocation and matching.

Complex Systems

  • Multimodal transportation systems.
  • Transportation policy for automated vehicles.
  • Data-driven supply chain management.

Game Theory

  • Incentive contracts and dynamic games.
  • Mean-field games.

Collaborators

I am honored to have opportunities to work with the following faculty members and researchers (A-Z):

  • Joshua A. Auld, Principal Engineer, Argonne National Laboratory
  • Adam Millard-Ball, Associate Professor, Department of Environmental Studies, University of California, Santa Cruz
  • Zhibin Chen, Assistant Professor, Department of Engineering, NYU Shanghai
  • Xuan Sharon Di, Assistant Professor, Department of Civil Engineering, Columbia University
  • Robert C. Hampshire, Associate Professor, Ford School of Public Policy, University of Michigan
  • H.V. Jagadish, Bernard A. Galler Collegiate Professor, Electrical Engineering and Computer Science, University of Michigan
  • Henry Lam, Associate Professor, Department of Industrial Engineering and Operations Research, Columbia University
  • Huei Peng, Roger L. McCarthy Professor, Department of Mechanical Engineering, University of Michigan
  • Romesh Saigal, Professor, Department of Industrial and Operations Engineering, University of Michigan
  • Cong Shi, Associate Professor, Department of Industrial and Operations Engineering, University of Michigan
  • Yafeng Yin, Professor, Department of Civil and Environmental Engineering, University of Michigan