Research

My research interests are in technology (e.g., AI and algorithmic decision-making) on platforms. Technology is the key in the business model of platforms.

• Platform: Technology lowers the cost of the platform to coordinate millions of consumers and service providers outside the company (e.g., Uber drivers, Amazon sellers, content creators), so that the platform can scale more easily and extract greater value in the total added value. However, new technology may also cause unexpected consequences that hurt the platform. My study investigates the unexpected results of platform policies.
• Consumer: Technology makes it possible for consumers to access tons of information and products, but consumers may also be fooled by fake reviews, be exposed to harmful content by algorithms, etc. My research studies consumer welfare as a result of the interactions of multiple players on the platform.
• Service Provider: Their competition is strongly influenced by AI and algorithmic decision-making, such as ranking algorithms, recommendation algorithms, pricing algorithms, etc. My research studies the changes in competition following the redesign of ranking algorithms.

I apply game theory, structural modeling, causal inference and machine learning to study the topics above.

Working Papers

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1. AI Summary Overrepresents Fake Reviews: Evidence from Amazon (Preliminary Draft)
   With Andrew T. Ching
• Submitted to Conferences
2. Platform Design with Lemons: Ranking, Certification, and Endogenous Market Segmentation
   With Wenxiao Yang
• Presented at: ISMS 2025, CIST 2025
3. Digital Footprints and Information Misallocation: Evidence from Multi-method Studies
   With Miaozhe Han, Hongchuan Shen, and Michael (Xiaoquan) Zhang
• Under Review at Management Science
• Winner, Best Paper Award at 2023 Asia-Pacific Marketing Academy Conference
• Presented at: SCECR 2024, Asia-Pacific Marketing Academy Conference 2023, Conference on Behavioral Science in the Age of Smart Technology 2023, CoDE @ MIT 2022, AFE @ UChicago 2022

Work in Progress

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1. Note on Identification of Stockpiling Models
• With Andrew T. Ching and Matthew Osborne
• Expected to be finished soon