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PhD Candidate in Quantitative Marketing (Minor in Computer Science)
PhD Candidate in Quantitative Marketing (Minor in Computer Science)
Wisconsin School of Business, University of Wisconsin-Madison
Wisconsin School of Business, University of Wisconsin-Madison
On the academic job market, 2026-2027
On the academic job market, 2026-2027
Email: yjin225@wisc.edu | Office: 4181 Grainger Hall, 975 University Ave, Madison, WI
About Me
About Me
I am a PhD candidate in Quantitative Marketing at the Wisconsin School of Business, University of Wisconsin-Madison, with a minor in Computer Science. My research lies at the intersection of the creator economy, artificial intelligence, and economics. Combining multimodal large language models (MLLMs) with econometric methods, I study influencer videos: how consumers form judgments about what they watch, how firms can measure and predict those judgments at scale, and how creators can act on them. Before my PhD, I earned an M.S. in Economics from UW-Madison and a B.S. in Electronic Engineering from Fudan University.
Research Interests
Research Interests
Topics: Quantitative Marketing, Social Media, Influencer Videos, Behavioral Economics
Methods: Machine Learning, Video Analysis, Multimodal Large Language Models, Causal Inference
Awards and Grants
Awards and Grants
Google Gemini Academic Program, $10,000 credit (2026)
AMA-Sheth Foundation Doctoral Consortium Fellow (2025)
OpenAI Researcher Access Program, $5,000 credit (2024)
INFORMS Marketing Science Doctoral Consortium Fellow (2023)
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