Hanqi Wen
Ph.D. Candidate in Technology and Operations
Stephen M. Ross School of Business, University of Michigan
E-mail: hanqiwen@umich.edu
Welcome!
I am Hanqi (pronounced Hahn-chee), a Ph.D. candidate at the Stephen M. Ross School of Business, University of Michigan. I am fortunate to be advised by Professors Izak Duenyas and Joline Uichanco.
I study how emerging business practices and rapidly evolving technologies create new operational trade-offs for firms and platforms, and how organizations should adapt their decisions in response. My research is motivated by real-world observations and currently centers on the following streams:
- E-commerce Fulfillment and Third-Party Marketplace Design: studying how emerging fulfillment practices reshape platform decisions when independent sellers retain control over key implementation decisions. Examples include inventory commingling and fulfillment regionalization.
- Design of Fast-Iterative Products and Services: studying how firms should manage products and services whose performance continues to evolve after launch, requiring development and deployment decisions to adapt over time. Examples include software products and AI services.
- AI Infrastructure Operations: studying how infrastructure providers should adapt capacity, reliability, and service design as AI demand continues to grow.
Across these projects, I begin with operational changes observed in practice and use analytical methods—including dynamic programming, game theory, and optimization—to uncover the underlying mechanisms and generate both generalizable insights and actionable guidance.
Before joining Ross, I received a Master’s degree in Management Science from Peking University and a Bachelor’s degree in Industrial Engineering from Tsinghua University.
I am on the 2026–2027 academic job market. [CV]
Selected Works
- Working PaperPooling Goods of Different Quality: Platform Design under Inventory Commingling2025Revision for second-round review at Management Science