Examining Behavioral Biases in Discretionary Pricing: Evidence from Field and Lab Experiments
Production and Operations Management, 33(6), 2024, 1335–1353
Assistant Professor of Technology & Operations Management, INSEAD
Pronounced: Sing-you Leon
Xinyu conducts data-driven research to study operational decisions under uncertainty, disruption, and competing incentives. With healthcare as a central domain, she examines how information and technology can reshape operations.
About
Xinyu Liang is an Assistant Professor of Technology and Operations Management at INSEAD. Her research examines how people and organizations make operational decisions under uncertainty, disruption, and competing incentives, and how information and technology can help improve decision-making and redesign operations. Healthcare is a central domain of her research, spanning pharmaceutical supply chains, healthcare delivery, and clinical decision-making.
Xinyu uses large-scale data, causal inference, field experiments, and applied machine learning, often in collaboration with organizations and policymakers. Her recent work examines how people and AI make and execute decisions together, and what this means for the design of operations in an emerging agentic economy. She works closely with industry partners and frontline professionals and has advised healthcare organizations, HealthTech companies, and pharmaceutical firms. Her research has also informed policy design at both the federal and organizational levels.
Xinyu earned her Ph.D. in Technology and Operations from the University of Michigan’s Ross School of Business. Prior to academia, she worked at McKinsey & Company, IQVIA, and Baidu.
Research
How people, algorithms, and organizations make operational decisions, and how to use data-based evidence to improve them.
Production and Operations Management, 33(6), 2024, 1335–1353
Cancer Medicine, 13(14), 2024, e70009
Minor revision at Manufacturing & Service Operations Management
Major revision at Manufacturing & Service Operations Management
Major revision at Management Science
Under review at Manufacturing & Service Operations Management
Other
2026
Research Collaboration
She is always glad to hear from fellow researchers and practitioners. If you have a research idea to explore, a project in mind, or simply want to connect research with practice, please reach out. She would love to hear from you, and a short note is all it takes.