Manxi Wu 

About me

I am an assistant professor at Cornell University Operations Research and Information Engineering. 

Previously, I was a research fellow in the Learning and Games program at the Simons Institute for the Theory of Computing, and a postdoctoral researcher at EECS, Berkeley. I completed my PhD in 2021 from the Institute for Data, Systems, and Society at MIT. I hold a M.S. in Transportation from MIT, and a B.S. in Applied Mathematics from Peking University. 

My research studies the role of platforms for information provision and autonomous services in the operations of modern transportation networks.  I develop new models that capture the interactions between platforms and strategic users under the physical constraints and uncertainty in transportation networks. I also design information and incentive guidelines for platforms to induce socially desirable outcomes such as system efficiency and resiliency. My work builds on foundations in game theory, incentive design, and network optimization. 

Selected publications and working papers (in reversed chronological order): 

1. Information Design for Spatial Resource Allocation, joint with Ozan Candogan, under review in WINE, 2023.

2. Market Design for Dynamic Pricing and Pooling in Capacitated Networks, joint with Haripriya Pulyassary, Saurabh Amin, and Patrick Jaillet, under review in WINE, 2023. 

3. Independent and Decentralized Learning in Markov Potential Games, joint with Chinmay Maheshwari, Druv Pai, and Shankar Sastry, under review in IEEE TAC, 2022. 

4. Convergence and Stability of Coupled Belief--Strategy Learning Dynamics in Continuous Games, joint with Saurabh Amin, and Asuman Ozdaglar, minor revision in Mathematics of Operations Research, 2022. 

5. Value of Information in Bayesian Routing Games, joint with Saurabh Amin, and Asuman Ozdaglar, Operations Research, 2020.

6. Securing Infrastructure Facilities: When Does Proactive Defense Help? joint with Saurabh Amin, Dynamic Games and Applications, 2018.

Teaching: 

I co-instructed a new course in Spring 2022 at UC Berkeley: EECS 290 -- 008 Design of Societal Scale Systems: Games, Incentives, Adaptation and Learning.

Teaching at Cornell: Game theory (ORIE 4350/5350) in 2022 Fall. I am offering PhD-level topic course on information and market design in 2023 Spring at Cornell.