Welcome to my page! I am a fifth-year Ph.D. candidate at the Department of Supply Chain Management, W. P. Carey School of Business, Arizona State University.
My research focuses on revenue management, with a particular interest in assortment optimization and product line design under choice models. My work aims to constructing frameworks for assortment optimization that incorporate multiple, often competing, business objectives and capture strategic complexity and uncertainty that define modern business.
I earned my bachelor's degree in 2020 from the School of Management and Engineering at Nanjing University. I will be graduating with my Ph.D. from ASU in the summer of 2026 and I am currently on the 2025-2026 academic job market.
Education
Arizona State University, W. P. Carey School of Business, Tempe, Arizona, 2020 – 2026 (Expected)
Ph.D., Business Administration, Department of Supply Chain Management
Nanjing University, School of Management and Engineering, Nanjing, China, 2016 – 2020
B.E. in Industrial Engineering
Conference Presentations
Multi-Objective Assortment Optimization: Profit, Risk, Customer Utility, and Beyond. (with Heng Zhang, Hongmin Li, and Scott Webster)
Job Market Showcase at INFORMS Annual Meeting, Atlanta, GA, Oct 2025 (Expected)
Invited presentation at INFORMS Annual Meeting, Seattle, WA, Oct 2024.
Invited presentation at MSOM Annual Meeting, Minneapolis, MN, July 2024
Invited presentation at POMS Annual Meeting, Orlando, FL, May 2023
Honors and Service
Session chair, POMS Annual Meeting, 2023
Invited Session: Frontiers in Revenue Management and Assortment Optimization
Track: POM-Marketing Interface
Editor of ASU Operations Management Review, Arizona State University, 2020-2021
Provided reviews of recent OM academic papers from top OM journals to simplify research topics to a wider reader base.
Interviewed with lead authors for idea generation, research challenges, future research goals and ongoing studies.
Winner Award, JD.com Global Optimization Challenge, 2018
Topic: Dispatch of Urban Logistics Transportation Vehicles
Developed a neighborhood search algorithm for high-quality solutions to TSP problems with over one thousand customers.