Zhiyu ZengShe/her/hers Postdoc AssociateOlin Business School Washington University in St. Louis Email: zengz [at] wustl [dot] edu
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Bio
I am currently working as a Postdoc Associate at the Olin Business School, Washington University in St. Louis. In 2023, I earned my Ph.D. in Management Science and Engineering from Tsinghua University, where I was advised by Prof. Zuo-Jun Max Shen. Prior to this, in 2018, I completed my bachelor’s degrees in both Industrial Engineering and Business Administration, also at Tsinghua University.
I am on the 2024-2025 academic job market for a tenure-track faculty position.
Research Scope
My research examines operational challenges within digital platforms, adopting a causality-centric lens. I utilize data-driven causal inference, field experimentation, structural modeling, and machine learning techniques to analyze and enhance the strategies within online marketplaces. A particular focus of my work is on improving the incentives for both supply and demand sides of these digital ecosystems.
News
| [05/2023] | I successfully defended my Ph.D. Thesis "Information-Based Nudges for Online Platforms: Evidence from Large-Scale Random Field Experiments." Thanks to the committee and everyone who has helped me along the Ph.D. journey! |
| [09/2023] | I became a Post Doctoral Research Associate at Olin Business School, Washington University in St. Louis, where I also embraced the role of instructor, actively engaging with students in teaching capacities. |
| [09/2023] | I was invited to give a plenary talk at the 13th annual China India Insights Conference, which was co-organized by Yale School of Management and Stanford University. |
| [10/2023] | I entered the finalist and obtained the Honorable Mention in the 2023 MSOM Student Paper Competition. |
| [01/2024] | I was invited to serve as a reviewer for Manufacturing & Service Operations Management. |
| [04/2024] | I accepted the invitation to serve as a session chair at the 2024 INFORMS Annual Meeting. |
Publications
Published Papers
The impact of social nudges on user-generated content for social network platforms
Zhiyu Zeng, Hengchen Dai, Dennis Zhang, Heng Zhang, Renyu Zhang, Zhiwei Xu, and Zuo-jun Max Shen.
Management Science 69.9 (2023): 5189-5208
[Paper]
Paper under Review
The Value of Customer-Related Information on Service Platforms: Evidence From a Large Field Experiment
Zhiyu Zeng, Nicholas Clyde, Hengchen Dai, Dennis Zhang, Zhiwei Xu, and Zuo-jun Max Shen.
Major revision at Manufacturing & Service Operations Management
[Paper]
Working Papers
The Impacts of Recommendations on Consumption and Creation on Online Content-Sharing Platforms
Zhiyu Zeng, Zhiqi Zhang, Dennis Zhang, Tat Chan
Targeting Management Science
Deep Learning for Policy Targeting with Coninous Treatment
Zhiqi Zhang, Zhiyu Zeng, Ruohan Zhan, Dennis Zhang
Targeting Management Science
Work in Progress
Investigating the Long-Term Treatment Effect: Evidence From Field Experiment Termination and Resumption, with Zhiqi Zhang, Ruohan Zhan, and Dennis Zhang
Targeting Information System Research
Estimating with Reinforcement Learning: Advancing the Repeated Search Model, with Shuo Zhang, Xueming Luo, Dennis Zhang, and Tat Chan
Evaluating Gender Bias: Price Dynamics of Male and Female Depictions in NFT Markets, with Zhiqi Zhang and Dennis Zhang
Teaching
Instructor
Teaching Assistant
Awards