Bio

Shawn Mankad is an associate professor of Analytics and the Stephen P. Zelnak Jr. Scholar at NC State’s Poole College of Management. His interdisciplinary work has been supported by NSF funding and published in leading outlets across statistics, operations management, information systems and finance fields. Before joining NC State, Mankad held faculty positions at Cornell University and the University of Maryland and was a visiting scholar at the Federal Reserve Bank of Philadelphia.

Area(s) of Expertise

Mankad's research centers on the development and application of statistical methods to address critical issues in business, economics, and public policy. He specializes in utilizing text data to explain and predict economic variables, as well as modeling networks to assess the risk of systemic failure.

Publications

• Working with Generative AI vs Humans: The Impact on Well-being , SSRN Electronic Journal (2026)
• A Structural Topic and Sentiment-Discourse Model for Text Analysis , Management Science (2024)
• Nonstandard Errors , The Journal of Finance (2024)
• OM Forum—The Best of Both Worlds: Machine Learning and Behavioral Science in Operations Management , Manufacturing & Service Operations Management (2024)
• Evidence of the Unintended Labor Scheduling Implications of the Minimum Wage , Manufacturing & Service Operations Management (2023)
• Networks, interconnectedness, and interbank information asymmetry , Journal of Financial Stability (2023)
• CP-Squared: A method for change point detection in core–periphery networks , Expert Systems with Applications (2022)
• Protecting the anonymity of online users through Bayesian data synthesis , Expert Systems with Applications (2022)
• The urgency to borrow in the interbank market , Economics Letters (2022)
• Liquidity Networks, Interconnectedness, and Interbank Information Asymmetry , Finance and Economics Discussion Series (2021)