Hi, I'm a final-year PhD student at the Department of Industrial Engineering & Management Sciences, Northwestern University. I received B.S. and B.A. from Peking University in 2018.
My research: while data-driven decision-making is widely adopted in supply chain and revenue management, it is often questionably assumed the seller is a monopolist. When such policies are applied in the competitive real world, they can fail to maximize pay-offs. In many cases, "misapplied" policies even lead to algorithmic collusion and break antitrust laws. My research focuses on learning in competitive environments. I aim to unravel policies and mechanisms that drive sellers toward equilibrium or collusion, which can help sellers improve policies and assist regulators in overseeing market dynamics.
I am on the 2024-2025 academic job market!
Contact: shukaili2024 [at] u.northwestern.edu
Recent News:
Apr-30-2024, Paper: My paper "Adaptive Learning in Uncertain and Sequential Competitions" with Sanjay Mehrotra is now under major revision at Operations Research.
Apr-27-2024, Talk: I presented "LEGO: Optimal Online Learning in Sequential Price Competition", a joint work with Cong Shi and Sanjay Mehrotra, at the POMS Conference 2024, Minneapolis.
Apr-25-2024, Teaching: I will teach as a Calculus instructor for Northwestern University's EXCEL undergraduate programs this summer.
Mar-07-2024, Paper: My paper "Online Learning for Constrained Assortment Optimization under Markov Chain Choice Model" with Qi Luo, Zhiyuan Huang, and Cong Shi is accepted by Operations Research.
Shukai Li
PhD student in operations research
Northwestern University
PhD student in operations research
Northwestern University