Jia Liu is an Associate Professor of Marketing and affiliated Associate Professor in Industrial Engineering & Decision Analytics at HKUST, combining a decade of academic experience with industry collaborations at Microsoft and Facebook to advance quantitative marketing. She develops statistical, econometric, and machine learning methods that turn large, messy data into actionable insights for pricing, advertising, recommender systems, and consumer search. Her work spans both theory and practice, evaluating marketing policies for brands across retail, telecom, automotive, e-commerce, and advertising agencies. Trained in mathematics, statistics, and marketing (Tianjin University, Michigan State, Columbia Business School), she brings rigorous quantitative foundations to behavioral and AI-driven marketing problems. An uncommon strength is her track record moving between Microsoft research labs and commercial partners, which sharpens her methods for real-world deployment.
10 years of coding experience
7 years of employment as a software developer
Ph.D., Marketing, Ph.D., Marketing at Columbia University - Columbia Business School
B.S., Mathematics, B.S., Mathematics at Tianjin University
M.S., Statistics, M.S., Statistics at Michigan State University
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