معرفی
Manxi Wu is an Assistant Professor in Cornell University's School of Operations Research and Information Engineering, specializing in societal networks and game-theoretic approaches to system design. Her research develops computational models for strategic learning and incentive mechanisms in socio-technical systems, with applications to transportation networks and digital platforms.
Education:
- B.S. Applied Mathematics, Peking University (2015)
- M.S. Transportation, Massachusetts Institute of Technology (2017)
- Ph.D. Social and Engineering Systems, Massachusetts Institute of Technology (2021)
Her research integrates game theory, optimization, and machine learning to address challenges in autonomous services, traffic management, and decentralized decision-making. Current investigations focus on adaptive incentive structures, spatial resource allocation, and equilibrium analysis in complex networked environments.
Publication analysis reveals consistent emphasis on game-theoretic frameworks applied to urban mobility systems, with recent work exploring multi-agent reinforcement learning, congestion pricing equity, and electric fleet management. Methodological innovations include novel convergence proofs for decentralized algorithms and computational approaches to fairness constraints.
Awards and Honors:
- Hammer Fellowship
- UTC Milton Pikarsky Memorial Award
- Siebel Scholarship
- EECS Rising Star recognition
No information is currently available regarding student advising, research grants, or laboratory affiliations.
