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 domain where the understanding of decision-making across different agents depends both on new types of data and careful analyses. With a question-driven approach to research, my work aims to use diverse methodologies in a creative way to generate market insights.  

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

I hold a M.Sc. in Econometrics and Mathematical Economics at the London School of Economics (LSE), and a B.Sc. in Combined Mathematics and Economics from University of British Columbia. 

I will join the Chinese University of Hong Kong as an Assistant Professor of Marketing in August 2025. 

Curriculum Vitae (PDF)

Research Interests  

Substantive: creator economy, digital marketing, online video platforms, video content

Methodological: deep learning, machine learning, high-dimensional/unstructured data (e.g, videos), 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