About Me

Welcome! I am Haonan Zhang, a 4th year Ph.D. Candidate in Quantitative Marketing at the Michael G. Foster School of Business, University of Washington. I am fortunate to be co-advised by Prof. Shirsho Biswas and Prof. Hema Yoganarasimhan.

My primary research lies in understanding consumers’ shopping behavior in multichannel retailing, with a particular focus on how the adoption of online shopping affects consumers’ offline shopping. I study the cross-channel spillover effects of online adoption and their implications for retailers’ pricing strategies and profitability.

I am on the 2025–2026 Job Market.

Research Interests

• Substantive areas: Multichannel retailing, e-commerce, pricing, digital and mobile marketing, personalization.
• Methods: Causal inference, structural models/IO, machine learning, field experiments.

Professional Experience

• Instacart Machine Learning Engineer Intern, Economics Team — 06/2025 – Present
• JPMorgan Chase & Co. (formerly First Republic Bank) Data Scientist, Statistical Modelling and Risk Management Team — 06/2020 – 09/2021

Education

• University of Washington Ph.D. in Marketing, 09/2021 – 06/2026 (Expected)
• Northwestern University M.S. in Machine Learning and Data Science, 09/2019 – 12/2020
• The University of Sydney B.Com. in Business Analytics (First Class Honors), 03/2015 – 12/2018