معرفی
Jingcun Cao is an Assistant Professor at the University of Hong Kong, where he joined in 2020. He holds a Ph.D. in Marketing from Indiana University, an M.A. in Economics and Business from the same institution, and a B.S. in Computational Mathematics from Xiamen University. He also completed visiting programs at the University of Chicago Booth School of Business and National Tsing Hua University.
His research addresses mobile app ecosystems, online education, healthcare, digital marketing, and environmental policy. Methodologically, he specializes in causal inference, applied machine learning, randomized field experiments, and econometrics. His collaborations with tech firms focus on business intelligence and big data analytics.
Teaching responsibilities include courses such as Big Data Marketing (MKTG 3530), Introduction to Marketing (MKTG 2501), and executive education modules in MarTech, Business Analytics, and Brand Management.
His publications analyze trends in digital platform governance, deep learning applications for consumer behavior, socioeconomic impacts of policy interventions, and mobile app monetization strategies. Research consistently integrates multidisciplinary approaches to solve industry-relevant problems.
He is currently recruiting Research Assistants and holds pending patents for machine-learning algorithms related to marketing analytics.
