Zhiyu Zeng (曾智宇)

She/her/hers

Assistant Professor

Department of Management Science
Antai College of Economics and Management
Shanghai Jiao Tong University
Email: zhiyu.zeng [at] sjtu [dot] edu [dot] cn


Bio

I'm an Assistant Professor at the Department of Management Science at Antai College of Economics and Management, Shanghai Jiao Tong University. Between 2023 and 2025, I was a Postdoctoral Associate at the Olin Business School, Washington University in St. Louis, under the mentorship of Professor Dennis Zhang . In 2023, I earned my Ph.D. in Management Science and Engineering from Tsinghua University, where I was advised by Professor Zuo-Jun Max Shen. Earlier, in 2018, I received bachelor’s degrees in both Industrial Engineering and Business Administration, also from Tsinghua University.

My research provides innovative solutions to the challenges faced by online platforms, using real data from industry and data-driven causal methods. I specialize in integrating structural modeling, machine learning, and artificial intelligence to complement field experiments and reduced-form analyses.


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]

  • Finalist and Honorable Mention, MSOM Best Student Paper Competition, 2023
  • Papers 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]

    The Impact of Recommender Systems on Content Consumption and Production: Evidence from Field Experiments and Structural Modeling
    Zhiyu Zeng, Zhiqi Zhang, Tat Chan, Dennis Zhang
    Major revision at Management Science
    [Paper]

    Working Papers

    Personalized Policy Learning through Discrete Experimentation: Theory and Empirical Evidence
    Zhiqi Zhang, Zhiyu Zeng, Ruohan Zhan, Dennis Zhang
    Targeting Management Science
    [Paper]

  • Winner of Buchan Prize Paper Competition, Olin Business School, 2025

  • News

    [09/2024] I will present my job market paper at INFORMS 2024 during the Technology and Operations session on Tuesday, October 22, from 11:00 AM to 11:15 AM in Room Summit - 443.
    [09/2024] Our paper, "Deep Learning for Policy Targeting with Continuous Treatment," has been accepted to the 2024 Conference on Digital Experimentation at MIT.
    [04/2024] I accepted the invitation to serve as a session chair at the 2024 INFORMS Annual Meeting.
    [01/2024] I was invited to serve as a reviewer for Manufacturing & Service Operations Management.
    [10/2023] I entered the finalist and obtained the Honorable Mention in the 2023 MSOM Student Paper Competition.
    [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.
    [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.
    [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!

    Teaching

    Instructor

    Summer 2024      Online master (working professionals) core: Text Mining
  • Teaching evaluation: 9.00/10 (school norm: 9.04/10)

  • Spring 2024      Master core: Text Mining
  • Teaching evaluation: 9.67/10 (school norm: 8.93/10)

  • Fall 2023      Master core: Prescriptive Analytics
  • Teaching evaluation: 9.33/10 (school norm: 9.10/10)

  • Teaching Assistant

    Fall 2022, 2023      Doctoral core: AI & Machine Learning for Business Applications
    Fall 2019      Undergraduate core: Introduction to Industrial Engineering and Operations Research


    Awards

  • Finalist and Honorable Mention, MSOM Best Student Paper Competition, 2023

  • First-Class Excellence Scholarship, Tsinghua University, 2022



  • Service

    • Journal Reviewer: Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, INFORMS Journal on Data Science, Nature Computational Science
    • Session Chair: 2024 INFORMS Annual Meeting, 2023 China India Insights Conference
    • Judge: INFORMS BOM Best Working Paper Competition