Research Interests

My research lies in the intersections between information systems and quantitative marketing. Drawing on theory-driven lens and leveraging business analytics on unstructured text/image and high dimensional structured big data, I aim to gain a deeper understanding of user behaviors on digital platforms and its interplay with AI or regulations, to measure impacts and uncover patterns, to practically guide decisions for individuals and firms, and inform policymakers. To do so, I use a collection of methodologies from econometrics, data mining, machine learning, quasi- and randomized experiments. I am particularly interested in the domain of healthcare, societal challenges, and human-AI interactions. My research measures the impact of medical crowdfunding design features and their interaction effects; models the human movement patterns when facing large-scales crises; examines the heterogenous effects of health policy on medical crowdfunding usage; and explores the effects of bots in business applications, etc.

Prior Education

Master in Economics, Dalian University of Technology, China, January 2009

Personal Information

I enjoy spending time with my family, and love hiking, camping, and skating.

Why RPI?

After several years of industry experience using data science, I was inspired to pursue advanced training surrounded by cutting-edge technologies, and RPI is the best place given my family situation. My motivations to conduct research here come from the desire to help create business values, societal insights, and policy implications. More importantly, the Lally school in RPI has multi-disciplinary expertise that I can embrace and leverage.