Zijing "Jimmy" Hu

I am a doctoral student in Quantitative Marketing at Mays Business School, Texas A&M University. I obtained my master's degree in Business Analytics from Brandeis University and my bachelor’s degree in Marketing from University of International Business and Economics.

My research interests focus on product development, pricing, platform strategy, and market research methodology. I employ interdisciplinary methods in my projects, including causal inference, structural modeling, deep learning, reinforcement learning, and game theory.

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News

  • 2026-04-10 [Honers/Awards] 2026 AMS Doctoral Consortium Fellow (Savannah, GA)
  • 2026-04-08 [Honers/Awards] Hagler Institute for Advanced Study Graduate Fellowship (TAMU)
  • 2025-12-22 [Scheduled Presentation] 2026 AIM Conference (Los Angeles, CA)
  • 2025-05-15 [Scheduled Presentation] 2025 Platform Strategy Research Symposium (BU)
  • 2025-04-12 [Honers/Awards] Dean's Award for Outstanding Teaching (TAMU)
  • 2025-03-04 [Honers/Awards] 2025 ISMS Marketing Conference Fellow (Washington, D.C.)
  • 2025-02-14 [Scheduled Presentation] 2025 ISMS Marketing Conference (Washington, D.C.)
  • 2025-02-07 [Scheduled Presentation] 2025 BizAI Conference (UTD)
  • 2025-01-17 [Scheduled Presentation] 2025 UH Annual Doctoral Symposium (UH)
  • 2025-01-17 [Honers/Awards] 2025 UH Annual Doctoral Symposium Student Presenter (UH)
  • 2024-12-27 [Scheduled Presentation] 2025 AIM Conference (Los Angeles, CA)
  • 2024-11-19 [Scheduled Presentation] 2025 Winter AMA Conference (Phoenix, AZ)
  • 2024-03-26 [Honers/Awards] 2024 ISMS Doctoral Consortium Fellow (UNSW Sydney)
  • 2024-03-15 [Scheduled Presentation] 2024 TPM Conference (UT Austin)
  • 2024-01-25 [Scheduled Presentation] 2024 AIM Conference (USC)
  • 2023-10-14 [Scheduled Presentation] 2023 Conference on AI/ML/BA (Temple)


Working Papers

  1. Noise to insights: A deep learning architecture for identifying and measuring sales-driving product attributes


    Zijing "Jimmy" Hu, Venkatesh Shankar. Revise & Resubmit, Journal of Marketing Research.
    [slide]

  2. Discovery Design in Long-Tail Marketplaces: Evidence from a Digital Music Platform


    Zijing "Jimmy" Hu, Yan "Lucy" Liu. Job Market Paper.

  3. Rejection design for crowdsourcing platforms


    Zijing "Jimmy" Hu, Xuying Zhao.

  4. Recovering true consumer preferences through varying realization probabilities


    Zijing "Jimmy" Hu.

Teaching


Undergraduate Level* Graduate Level†

  • Instructor
    • Marketing Analytics*, Texas A&M University, Evaluation: 4.5/5.0 & 4.0/5.0, Fall 2023
  • Teaching Assistant
    • Marketing Research*, Yan "Lucy" Liu, Texas A&M University, Spring 2026, 2024
    • Innovation and Product Management*, Rajan Varadarajan, Texas A&M University, Fall 2025, 2024
    • Marketing Metrics†, Yan "Lucy" Liu, Texas A&M University, Summer 2025, 2024
    • Marketing Research*, Rahul Suhag, Texas A&M University, Spring 2025
    • Marketing Analytics†, Xavi Vidal-Berastain, Brandeis University, Fall 2020
    • Machine Learning and Data Analysis for Business and Finance†, Blake LeBaron, Brandeis University, Spring 2020
  • Guest Lecture
    • Strategic Digital Marketing*, Venkatesh Shankar, Texas A&M University, Fall 2022


Notes



© 2026 Zijing "Jimmy" Hu. Design and source code from Jon Barron's website.