Hi! This is Zhiqi Zhang. I am a Ph.D. candidate majoring in Supply Chain, Operations, and Technology at Olin Business School, Washington University in St. Louis (WashU).

My research interests lie in platform operations, machine learning, causal inference, and so on. I am advised by Professor Dennis Zhang.

Education

• Washington University in St. Louis, Ph.D. in Supply Chain, Operations, and Technology (2021 – now)
• Shanghai Jiao Tong University, B.Eng. in Industrial Engineering (2016 - 2020)
• Yale University, Summer Session (Jul. 2018 - Aug. 2018)

Papers

1. Deep Learning Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence, with Zikun Ye, Dennis Zhang, Heng Zhang, Renyu Zhang, Management Science(2025).
   • Accepted by ACM Conference on Economics and Computation (EC) 2023.
2. Personalized Policy Learning through Discrete Experimentation: Theory and Empirical Evidence, with Zhiyu Zeng, Ruohan Zhan, Dennis Zhang, work in progress.
   • Winner of Buchan Prize Paper Competition, Olin Business School, 2025

3. The Impacts of Recommendations on Consumption and Creation on Online Content-Sharing Platforms, with Zhiyu Zeng, Dennis Zhang, Tat Chan, working paper to be submitted.

4. Bias in Offline Retailing Experiment: Evidence and Solution, with Jiayi Zhang, Ruohan Zhan, Dennis Zhang, work in progress.

Conference Talks

Personalized Policy Learning through Discrete Experimentation: Theory and Empirical Evidence

• INFORMS Annual Meeting, Atlanta, GA, 2025 (scheduled)
• POMS Annual Meeting, Atlanta, GA, 2025 (scheduled)
• POMS-HK International Conference, Hong Kong, 2025
• INFORMS Annual Meeting, Seattle, WA, 2024
• CODE@MIT, Cambridge, MA, 2024
• MSOM Annual Meeting, Minneapolis, MN, 2024
• POMS Annual Meeting, Minneapolis, MN, 2024
• INFORMS Annual Meeting, Phoenix, AZ, 2023

The Impact of Recommending High-quality Content on Consumption and Production on User-generated Content Platforms

• POMS Annual Meeting, Orlando, FL, 2023

Deep Learning Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence

• Workshop on Empirical Research in Operations Management, The Wharton School, Philadelphia, PA, 2023
• POMS Annual Meeting, Orlando, FL, 2023
• INFORMS Annual Meeting, Indianapolis, IN, 2022
• POMS Annual Meeting, Virtual Conference, 2022

Teaching

• PhD Core:
  • SCOT 654 Research Topics in Supply Chain, Guest Lecturer; SP2024
  • SCOT 652 Dynamic Programming, TA; FL2024
  • MKT 680 A AI & Machine Learning for Business Applications, TA; FL2022, FL2023, FL2024
• Master Core:
  • SCOT 531 Supply Chain Finance, TA; SP2024
• Undergraduate Core:
  • SCOT 554 Operations Analytics, TA; SP2023
  • SCOT 5704 Operations Management, TA; FL2022
  • SCOT 500D Project Management, TA; FL2022, SP2023

Academic Services

Session Chair: 2024 INFORMS Annual Meeting, 2025 POMS-HK International Conference

Contacts

Email: z.zhiqi@wustl.edu