I am a tenure track assistant professor in the SC&OM group at the Krannert School of Management, Purdue University.
My research studies networked marketplaces with an emphasis on online decision-making, using tools from applied probability and modern optimization. I am interested in foundational theoretical models motivated by problems in revenue management and pricing, and matching markets. My research emphasizes algorithms and mechanisms that not only have good theoretical guarantees, but also are simple, robust, and hence practical for real-world systems.
You can reach me at pqian20 at gmail dot com.
- Online Algorithms
- Stochastic Networks
- Market Design
- Platform
PhD in Decision, Risk, and Operations, 2021
Columbia Businss School
BS in Mathematics, 2015
Peking University
What’s New
Oct 2021 | My paper "Blind dynamic resource allocation in closed networks via mirror backpressure" won Honorable Mention in RMP Jeff McGill Student Paper Competition 2021! |
Aug 2021 | Joining Purdue Krannert as assistant professor. Excited to work with the amazing people here! |
May 2021 | Successfully defended my PhD thesis "Online decision-making in networked marketplaces"! |
Working Papers
4. | Price discovery and efficiency in waiting lists: a connection to stochastic gradient descent with Itai Ashlagi, Jacob Leshno, and Amin Saberi, manuscript coming soon Preliminary version: ACM Conference on Economics and Computation (EC`20) |
3. | In which random matching markets does the short side enjoy an advantage? with Yash Kanoria, and Seungki Min, under review Preliminary version: ACM-SIAM Symposium on Discrete Algorithms (SODA`21) |
2. | Blind dynamic resource allocation in closed networks via mirror backpressure with Yash Kanoria, major revision Preliminary version: ACM Conference on Economics and Computation (EC`20) [arXiv | EC Version] |
1. | Dynamic assignment control of a closed queueing network under complete resource pooling with Siddhartha Banerjee , and Yash Kanoria, under review Preliminary version: SIGMETRICS`18 |