Qinxin Chen

Qinxin Chen

(陈沁歆)

Ph.D. Candidate in Quantitative Marketing

Hi! This is Qinxin Chen.

I’m a Ph.D. Candidate in the Marketing area at Olin Business School, Washington University in St. Louis. My research integrates machine learning with structural choice models to study pricing strategies and healthcare markets with complex product interactions. I am fortunate to be advised by Prof. Tat Chan and Prof. Dennis Zhang.

📣 I am on the 2026-2027 academic job market for a tenure-track position.

Download my Curriculum Vitae.

Interests

  • Pricing
  • Healthcare
  • Digital Platforms
  • Structural Models
  • Causal Inference
  • Machine Learning

Education

  • Ph.D. in Marketing (Quant), 2021 -

    Washington University in St. Louis

  • M.S. in Business Analytics, 2019 - 2021

    Washington University in St. Louis

  • B.S. in Statistics, 2015 - 2019

    Southwestern University of Finance and Economics

Personal

  • You can pronounce my first name like “Chin-shin”.
  • When I’m not focused on research, you can usually find me exploring the local food scene, or managing a virtual boba shop in a restaurant-themed video game.

Research

  1. A Semiparametric Approach to Discrete Choice Demand Estimation: Theory and Empirical Evidence, with Jingcun Cao, Tat Chan, and Dennis Zhang, Job Market Paper. Job Market Paper

Papers Under Review

  1. Designing Optimal Menu of Subscription Plans under Time-inconsistent Preferences: An Empirical Investigation, with Yijun Chen and Tat Chan, Major Revision at Management Science.
    SSRN
  2. Immediate Delisting or Grace-Period Remediation? Evidence from a Randomized Transition in Platform IP Enforcement, with Shuo Zhang, Xiang Hui, Meng Liu, Tat Chan, Tianjun Feng, and Fuqiang Zhang, Under Review.
  3. Attributed, But Not Incremental: Cannibalization-Corrected Attribution for Large-Scale Advertising, with Industry collaborators, Under Review.

Work in Progress

  1. ‘Size Does Matter’: Demand and Pricing Implications of Market Potential Assumptions in the MNL Model, with P.B. (Seethu) Seetharaman, Working Paper.
  2. Channel Promotions on a Digital Platform, with Luyi Huang, Shuo Zhang, and Tat Chan, Work in Progress.

Teaching

Teaching Assistant — Olin Business School, Washington University in St. Louis

Undergraduate Core
A/B Testing in Business and Social Science Spring 2024
Master & MBA
Digital Marketing Spring 2026
Customer Analytics Spring 2025
Marketing Strategy Fall 2024
A/B Testing in Business and Social Science Spring 2024
Data Analytics for Brand Management Spring 2023
Analytics Driven Brand Management Spring 2023
Ph.D. Core
Empirical Methods in Business Fall 2024, Fall 2025

Industry Experience

Data Scientist Intern, TikTok San Jose, 2026
  • 🎯 Cracking ad attribution at scale — proposing a cannibalization-corrected attribution model that credits the ads truly moving the needle, live across 7+ countries 🌍
  • ⚽ Powering the data science behind global World Cup campaigns — helping the world’s biggest sporting moment land with the right fans at the right time
  • 🎬 Exploring how AI-generated micro-dramas (短剧) hook viewers and grow audiences at scale
Data Scientist Intern, Strategic Financial Solutions New York, 2020
Data Analyst Intern, DiDi Beijing, 2019
M&A Research Intern, HSBC Shanghai, 2018

Contact