Xinyu Liang

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.

Portrait of Xinyu Liang

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.

Published research

Examining Behavioral Biases in Discretionary Pricing: Evidence from Field and Lab Experiments

Xinyu Liang, Yixin (Iris) Wang, and Jun Li

Production and Operations Management, 33(6), 2024, 1335–1353

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Keywords
Human–algorithm collaboration, Discretionary decision-making, Pricing

Quality of Care for Dual Eligible Beneficiaries in the Oncology Care Model

Xinyu Liang, Ziwei Zhu, Kassem Faraj, Vahakn B. Shahinian, Brent K. Hollenbeck, and Lindsey A. Herrel

Cancer Medicine, 13(14), 2024, e70009

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Keywords
Healthcare operations, Health policy, Payment models

Working Papers Under Review/Revision at business journals

Brand-name versus Generic Drugs: An Empirical Study on Health Outcomes of Generic Atorvastatin Usage

Xinyu Liang, Jun Li, and Ravi Anupindi

Minor revision at Manufacturing & Service Operations Management

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Keywords
Pharmaceutical supply chain, Healthcare operations, Health outcomes
Selected presentation
MSOM Healthcare SIG, 2024
Media coverage
Phoenix News, Tencent News

The Effects of Hospital Closures on Nearby Nursing Homes: Spillover Effects and Operational Resilience

Xinyu Liang and Jong Myeong Lim

Major revision at Manufacturing & Service Operations Management

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Keywords
Healthcare operations, Nursing homes, Operational resilience
Selected presentation
MSOM Conference, 2026

Does AI Crowd Out Context? Evidence from Clinical Radiology

Michael Freeman and Xinyu Liang

Major revision at Management Science

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Keywords
Human–AI collaboration, Healthcare operations, AI economy
Selected presentations
Wharton Business and Gen AI Conference, 2026; Workshop on Empirical Research in Operations Management, 2026

When Care Paths Diverge from the Guideline: Physician Discretion and Downstream Consequences in Imaging Surveillance

Xinyu Liang, Srishti Arora, and Michael Freeman

Under review at Manufacturing & Service Operations Management

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Keywords
Local LLM Pipeline, Healthcare operations, Discretionary decision-making
Selected presentation
INFORMS Healthcare, 2026

Other

Policy Engagement and Practitioner-Focused Writing

Estimation of Economic and Public Health Burden of Low-Quality Generic Drugs for Chronic Disease and Potential Solutions

Victor Suarez, Carl W. Bazil, Christopher G. Bunick, Peter C. Butler, Adam Clark-Joseph, Ryan C. Costantino, Steven Gong, Joe Graedon, John Gray, Tracey Perez Koehlmoos, Harry Lever, Xinyu Liang, Robert Makuch, Darin T. Okuda, Suzanne Robotti, Lisa Salberg, Jordan Shlain, C. Michael White, Kenny Yu, David Y. Light, and Kevin A. Schulman

2026

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Policy use
Cited in and included as an attachment to written testimony by a coauthor who appeared as a witness before the U.S. Senate Special Committee on Aging (June 3, 2026).
Media coverage
ABC News.

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.

Postdoctoral opportunities

Two postdoctoral positions at INSEAD

With Michael Freeman and Xinyu Liang, supported by HUMII and the Hoffmann Institute.

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HUMII
Human–AI Collaboration and Work Design.
Hoffmann Institute
Healthcare Operations, AI and Digital Technology.
Start
Flexible, June 2027 onwards.