Welcome! I am a Ph.D. candidate in the Marketing division of  Columbia Business School. 

My research focuses on combining machine learning, statistical/econometric methods and insights from behavioral science to tackle important questions in the domain of digital markets and creator economy. This is a fascinating area where the understanding of the incentives and behaviors of different agents (e.g., viewers, creators, advertisers, platforms and regulators) requires both new types of data and detailed analyses. With a problem-driven approach to research, my work aims to integrate different methodologies with the goal of uncovering important domain insights to better facilitate managerial decision support. 

My dissertation was honored at the ISMS Doctoral Dissertation Proposal Competition and ASA Marketing Section Doctoral Dissertation Research Award Competition.  

I am currently a postdoctoral researcher at Meta in Central Applied Science Team on a one-year research collaboration. In the Summer of 2026, I will be joining the Chinese University of Hong Kong as an Assistant Professor of Marketing. 

Curriculum Vitae (PDF)

Research Interests  

Substantive: digital markets, creator economy, content design, online video platforms

Methodological: deep learning, machine learning, high-dimensional/unstructured data (e.g, videos), big data, causal inference, structural models, experiments 

Contact

980 WS3 Kravis Hall

Marketing Division, Columbia Business School

665 West 130th Street, New York, NY, 10027 

Email: yyang24@gsb.columbia.edu

Github: https://github.com/yyang24