Ph.D. in Management
University of Toronto
Marketing · Digital Economy · Artificial Intelligence
Understanding markets in the age of AI.
I study how artificial intelligence, recommender systems, data-driven algorithms, and algorithmic pricing reshape decisions by firms and consumers. My work combines economics and machine learning to understand the opportunities and risks created by digital technologies.
A parallel stream of my research examines consumer protection, data governance, and responsible market design in the digital age.
- Economics of Algorithms
- AI & Recommender Systems
- Algorithmic Pricing
- Data & Privacy
- Digital Consumer Protection
M.Phil. in Operations Research
Hong Kong University of Science and Technology
B.E. in Computer Science and Technology
Tsinghua University
Research mission
Research at the intersection of markets and technology
I use economic theory, empirical methods, and machine learning to explain how digital systems reshape markets—and how they can be designed more responsibly.
Algorithmic Markets
How algorithms change competition, pricing, disclosure, and the strategic choices of firms.
AI & Consumer Decisions
How intelligent systems, recommendations, and automated agents influence consumer behavior.
Data, Privacy & Protection
When data sharing creates value—and when it exposes consumers to new forms of risk.
Digital Platforms
Economic and machine-learning approaches to platform design, analytics, and online markets.
Selected work
Recent publications
Crowdfunding Success for Female versus Male Entrepreneurs Depends on Whether a Consumer versus Investor Decision Frame Is Salient
Journal of Marketing Research, 62(2), 274–293
Experience
Academic appointments
Professor
Faculty of Business and Economics, The University of Hong Kong
Associate Professor
Faculty of Business and Economics, The University of Hong Kong
Assistant Professor
College of Business, City University of Hong Kong
Recognition
Honors & awards
Selected recognition for research, service, and academic achievement.
HKU Business School Outstanding Researcher Award
Marketing Science Service Award
Runner-up, Franco Nicosia Best Competitive Paper Award
Top 50 Author Productivity in the Premier Marketing Journals (2014–2023), American Marketing Association
Marketing Science Service Award
MSI Young Scholar
View earlier awards
Dean's Research Excellence Award, College of Business, City University of Hong Kong
President's Award, City University of Hong Kong
Award for Outstanding Self-financed Students Abroad, China Scholarship Council
Outstanding Undergraduate Thesis, Tsinghua University
Teaching
Courses & cases
Undergraduate
Digital Marketing
A quantitative view of digital marketing, spanning search, display advertising, social networks, programming, and data analytics.
Open course MSc MarketingAlgorithms, AI, and Market Analytics
An interdisciplinary course connecting computer science, economics, marketing, machine learning, econometrics, and statistics.
Open course 市场营销分析Marketing Analytics
Open course Course materialsPython for Data Analytics
Open course Course materials互联网数字营销与传统行业创新商业模式分析
Open course Data Case · Asia Case Research CentreValuation of Hong Kong Residential Property
Open coursePublic engagement
In the media
Commentary on AI, digital markets, pricing, and consumer welfare.
View more media coverage
Research collaboration & RA opportunities
Interested in markets, algorithms, or responsible AI?
I welcome conversations with researchers, students, and organizations working on related questions.