ANNIE L. SHI

Ph.D. Candidate in Marketing, Washington University in St. Louis - Olin Business School

  • Advised by Prof. Tat Chan, Prof. Dennis Zhang, and Prof. Seethu Seetharaman

Assistant Professor in Marketing, University of Florida - Warrington College of Business (begin in Fall 2025)

Her research focuses on two pivotal areas: the effects of promotions on consumer behaviors on online platforms and the strategic application of marketing principles to public health challenges. Additionally, she is passionate about addressing methodological issues in marketing models. She integrates causal inference methods with artificial intelligence algorithms and employs structural models to capture consumer behaviors that the former methods cannot address.

Research Interests:

  • Effects of Promotions on Consumer Behaviors on Online Platforms

  • Healthcare Marketing

  • Methodological Innovations in Marketing Models

Education:

Washington University in St. Louis

  • Ph.D. in Marketing, expected 2025

University of California, Davis

  • M.S. in Statistics, 2018

  • M.A. in Economics, 2017

University of Washington

  • B.A. in Economics, 2015

Research

MANUSCRIPTS UNDER REVIEW:

  1. “Using Algorithmic Scores to Measure the Impacts of Targeted Promotional Messages”, Annie L. Shi, Tat Y. Chan, Dennis J. Zhang, Job Market Paper, revision at Journal of Marketing Research

  2. “Tackling the US Opioid Crisis: Data-Driven Detection of Suspicious Retail Buyers”, Annie L. Shi, P.B. (Seethu) Seetharaman, Anthony Sardella, Michael Wall, Chenthuran Abeyakaran, revision at Journal of Marketing

WORKING PAPERS:

  1. “Decision-Theoretic Loss Function in Demand Estimation: An Application to Pricing”, with P.B. (Seethu) Seetharaman, Durai Sundaramoorthi, working paper

  2. “AI Feynman: A Powerful New Approach to Discover Marketing Laws”, with P.B. (Seethu) Seetharaman, working paper

  3. ““Please Take Your Medication!” The Impact of Marketing Communications on Medication Adherence”, with Hai Che, Yang Qian, P.B. (Seethu) Seetharaman, working paper

  4. “Impact of Covid-19 Lockdown on Customer Shopping: A Supermarket Retail Demand Perspective”, with Guangying Chen, P.B. (Seethu) Seetharaman, working paper

WORK IN PROGRESS:

  1. “Correlated Visits and Purchases on Online Retail Platforms”, with Tat Y. Chan, Shilei Luo, Dennis J. Zhang, work in progress

  2. “Brand Level Aggregation in Consumer Choice Models Estimated on Scanner Panel Data: Innocuous or Harmful? An Empirical Examination Across 5 Product Categories”, with P.B. (Seethu) Seetharaman, work in progress

Conference

  • Using algorithmic Scores to Measure the Impacts of Targeting Promotional Messages

    • 18th Annual Bass FORMS Conference, UT Dallas, 2024

    • 4th AIM Conference, USC, 2024

    • 45th ISMS Marketing Science Conference, Miami, 2023

    • 33rd Annual POMS Conference, Orlando, 2023

    • China India Insight Conference, USC, 2022

  • Tackling the US Opioid Crisis: Data-Driven Detection of Suspicious Retail Buyers

    • INFORMS Workshop on Data Science, Seattle, 2024 (scheduled)

    • InsightsOn Conference at Yale School of Management, Yale, 2024

    • 45th ISMS Marketing Science Conference, Miami, 2023

    • 33rd Annual POMS Conference, Orlando, 2023

    • Conference on Artificial Intelligence, Machine Learning, and Business Analytics, Harvard, 2022

    • WashU Olin Brookings Commission, Brookings Institution, Washington DC, 2022

Teaching

Co-Instructor - Washington University in St. Louis

  • MKT 555.21 - Analytics Driven Brand Management (Master) - SP22

    • Teaching evaluation: 9.73/10 (Business School Average: 9.0/10)

  • MKT 555.A - Data Analysis for Brand Management (Master) - SP22

    • Teaching evaluation: 9.50/10 (Business School Average: 9.0/10)

Teaching Assistant - Washington University in St. Louis

Ph.D.

  • MGT 620 - Empirical Methods in Business, I, II - FL21, FL22

Master

  • MKT 577 - Marketing Strategy - FL20, FL21, FL22

  • MKT 555.21 - Analytics Driven Brand Management - SP21, SP22, SP23

  • MKT 555A - Data Analysis for Brand Management - SP21, SP22, SP23

  • MKT 500Q - Intensive Industry Project - FL20, SP21

  • DAT 500 - A/B Testing in Business and Social Science - SP20

  • MKT 558 - Pricing Strategy - FL19

Undergraduate

  • MGT 490 - Honor Seminar I - FL20, FL21

  • MKT 470 - Pricing Strategy - FL19

Teaching Assistant - University of California, Davis

Undergraduate

  • ECN 140 - Econometrics - SP18

  • ECN 131 - Public Finance - FL17

  • ECN 100A - Intermediate Microeconomics Theory - SP17

Hobbies:

singing, weight training, tennis, watching hockey and football

Contact: l.shi@wustl.edu