I am an Assistant Professor of Marketing in the Leeds School of Business at the University of Colorado Boulder.
I received my PhD in Marketing from New York University Stern School of Business in 2018. I spent five wonderful years at Stern, working with my advisors Daria Dzyabura and Yuxin Chen. My thesis committee members are Alix Barasch, Foster Provost, and Russ Winer.
Prior to that, I was a computer scientist. I obtained my bachelor's degree in computer science from Tsinghua University and my master's degree from the Language Technologies Insitute of the School of Computer Science at Carnegie Mellon University. I was fortunate to start doing research very early on in undergrad with Jie Tang, working on topic modeling for academic social network analysis and mining in project AMiner.org. During my master's at CMU, I worked with Jack Mostow in Project Listen, applying natural language processing in tutoring systems to help children learn vocabulary. I also worked at Google Pittsburgh for three years as a Software Engineer, doing large-scale machine learning for the AdSense system.
My background in both marketing and computer science and my experience in both academia and industry have shaped my research interests and apporaches. Broadly speaking, my research lies in the intersection of marketing and machine learning. I have deep passion in developing new methodologies and applying state-of-the-art machine learning and deep learing methods to marketing problems, in areas such as visual marketing, branding, product design and innovation, social media, and consumer choice modeling. My works take the advantage of the efficiency and scalability of machine learning and are tailored specifically to marketing applications with a deep understanding of consumer behavior and economic theories.
I am looking for research assistants interested in the intersection of business analytics/marketing and machine learning. If interested, please email me a CV. Thank you!