I am a Ph.D. candidate in Quantitative Marketing at the Stephen M. Ross School of Business, University of Michigan. My research centers on the role of information in platform design. I use field experiments, structural modeling, causal inference, and deep learning/AI methods to study consumer behavior, supplier participation, and the implications for platform strategy and public policy.
“Frontiers: Does Carrying News Increase Engagement with Non-News Content on Social Media Platforms?" with Puneet Manchanda. Marketing Science, 2025.
“How Effective Is Suggested Pricing?: Experimental Evidence from an E-Commerce Platform" with Jessica Fong and Puneet Manchanda. Conditionally Accepted, Journal of Marketing Research.
“Optimizing Multi-Stage Personalization in the Customer Journey"
Marketing Management (Undergraduate), Spring 2023
Instructor Evaluation: 4.9/5.0
Thomas W. Leabo Memorial Award for Teaching Excellence