About
Hi, I'm Yuan — glad to have you here. I'm a Ph.D. candidate in Marketing at the Tepper School of Business, Carnegie Mellon University. My research sits at the intersection of machine learning and economics, spanning digital marketing, technology and innovation, causal inference, structural models applied to unstructured data, and interpretable ML.
Before CMU, I earned my bachelor's degree in Applied Math and CS at UC Berkeley and completed a pre-doc research fellowship in Economics at Stanford. Off the clock, my interests include skiing, the accordion, and ultimate frisbee.
Currently — developing structural and machine-learning methods for measuring fairness and disparities in online marketplaces.
Research
Teaching
Faculty teaching rating: 5.0 / 5.0 (department average: 4.64; university average: 4.61).
Marketing I introduces undergraduates to how firms create and capture customer value. The course runs on discussion and case analysis, with an emphasis on collaboration, analytical thinking, and public speaking.
The capstone project matches OpenAI against Anthropic, two firms that share a market but pursue opposite paths to growth: one through consumer reach and the other through enterprise trust. Student teams examine each strategy from several angles, weighing tradeoffs in positioning, pricing, and monetization and testing where each approach holds up or breaks down. The open ended format asks teams to build original arguments and defend them with conviction.
Education & Awards
Education
Awards
Selected Talks
Contact
It's always a pleasure to meet fellow curious minds. I'd be glad to hear from you.
Tepper School of Business · Carnegie Mellon University · Pittsburgh, PA