Ph.D. Candidate · University of Chicago Booth School of Business
Haoyu Wu
Abstract
My research spans optimization, stochastic and dynamic methods, machine learning, and game theory — applied to real operational problems in technology and markets. I am a Ph.D. candidate at the University of Chicago Booth School of Business. Before Booth, I earned an M.S. in Computational and Applied Mathematics from the University of Chicago and a B.S. in Mathematics from the Hong Kong University of Science and Technology (HKUST).
Keywords
Stochastic & Dynamic Methods · Optimization · Game Theory · Market Design
Education
- 2025–
- Ph.D. in Management Science / Operations Management, University of Chicago, Booth School of Business.
- 2025
- M.S. in Computational and Applied Mathematics, University of Chicago.
- 2024
- B.S. in Mathematics, Hong Kong University of Science and Technology (HKUST), First Class Honors. Includes an exchange semester at Columbia University (spring 2023).
Correspondence