Research Philosophy

One afternoon in 2009, I pulled an old book on optimization from a shelf in the library at Sun Yat-sen University. It had been donated from the United States. That shelf was part of a larger history: Gregory C. Chow (邹至庄), Lingnan College’s first honorary dean, had helped bring modern economics textbooks and well-trained faculty to the college. His work put new ideas within reach of students like me.

The book posed a question: Why does light bend when it enters water? A straight path is shorter, but a bent path can take less time. Light seemed to be solving a problem: finding the quickest way through the world. I was struck by the thought that a familiar sight could reveal a principle beneath it. Natural science searches for the principles that govern the physical world. I began to wonder whether the choices of people, organizations, and businesses might also have a logic beneath their apparent disorder. What guides a decision made under uncertainty, incentives, or new technology?

That question led me to research. Human choices can look random, and finding a common principle that helps predict them is hard. I believe careful study can reveal patterns and that those patterns can help us make better decisions in business, society, and public policy. Newton is said to have pictured himself as a child on the seashore while “the great ocean of truth lay all undiscovered before me.” I remember the feeling I had in that library: the joy of finding one small clue, and the desire to see what lay beyond it.

Research Themes

01 /

Human–Algorithm Decision-Making

When should decision-makers trust algorithms? How do recommendations influence learning, judgment, and performance? I study human interaction with analytical and AI-based decision support in operational settings.

Human–AI collaborationAlgorithmic decision supportLearning and feedback

Related work: Replenishment recommendations for convenience stores and human responses to data-driven operational advice.

02 /

AI Governance & Innovation

How should regulators govern products that continuously learn or change after release? My research examines the intersection of AI development, regulatory oversight, innovation incentives, and compliance.

Adaptive AITechnology regulationInnovation incentives

Related work: Regulating adaptive new products and the trade-off between oversight and development practices.

03 /

Behavioral Operations Management

Operational decisions are made by people, not only by models. I examine behavioral biases, social comparisons, feedback, and the interaction between individual decisions and operational outcomes.

Social comparisonInventory decisionsLaboratory experiments

Related work: Inventory sharing, demand-side underweighting, and peer-performance feedback in newsvendor decisions.

04 /

Healthcare, Pharmaceutical & Supply Chain Operations

My work investigates how companies, healthcare systems, and regulators make decisions about innovation, access, incentives, and operational efficiency, alongside data-driven inventory and supply chain management.

Pharmaceutical supply chainsDrug regulationInventory analytics

Related work: Drug reimbursement, accelerated approval pathways, specialty-drug channels, and retail replenishment.

Selected Publications