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 market research methodology, platform design, and sustainability. I employ interdisciplinary methods in my projects, including econometric model, deep learning, causal machine learning, field experiment, and game theory.
Email
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- 03/26/2024 [Misc] Selected as a 2024 ISMS Doctoral Consortium Fellow (UNSW Sydney)
- 03/15/2024 [Conf] One paper was accepted for the TPM Conference (UT Austin)
- 01/25/2024 [Conf] One paper was accepted for the AIM Conference (USC)
- 10/14/2023 [Conf] One paper was accepted for the Conference on AI/ML/BA (Temple)
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NLVAE: A new machine learning approach for extracting and identifying sales-driving product attributes
Zijing "Jimmy" Hu, Venkatesh Shankar
Working Paper, 2024
[slide]
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Recovering true consumer preferences through multiple incentive-aligned choice experiments
Zijing "Jimmy" Hu
Working Paper, 2024
Teaching
Undergraduate Level* Graduate Level†
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- Instructor
- Marketing Analytics*, Texas A&M University, Evaluation: 4.5/5.0 & 4.0/5.0, Fall 2023
- Teaching Assistant
- Marketing Metrics†, Yan "Lucy" Liu, Texas A&M University, Summer 2024
- Marketing Research*, Yan "Lucy" Liu, Texas A&M University, Spring 2024
- 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
© 2024 Zijing "Jimmy" Hu. Design and source code from Jon Barron's website.
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