Kai Wang

Kai Wang

Assistant Professor

Kai Wang recently attained his Ph.D. in Computer Science at Harvard University where he was advised by Professor Milind Tambe. His research interests include multi-agent systems, computational game theory, machine learning and optimization, and their applications in public health and conservation. One of Wang's key technical contributions includes decision-focused learning, which integrates machine learning and optimization to strengthen learning performance; with his algorithms currently deployed assisting a non-profit in India focused on improving maternal and child health. He is the recipient of the Siebel Scholars award and the best paper runner-up award at AAAI 2021. 


CoC Profile Page

  • Personal Website
  • Google Scholar

    Georgia Institute of Technology

    College of Computing
    Georgia Tech School of Computer Science
    Research Focus Areas:
  • AI
  • Additional Research:
    • AI for Social Impact
    • Data-Driven Decision Making
    • Multi-Agent Systems
    • Optimization

    IRI Connection: