Adam Mersereau

Adam Mersereau’s research interests are in data-driven dynamic optimization. Dr. Mersereau is particularly interested in settings where decisions are best made by integrating estimation and optimization, as opposed to the usual paradigm of estimating parameters first, then optimizing decisions based on the estimates. He addresses problems in retail operations management, revenue management, marketing optimization, and supply chain management. One of his recent research projects is to optimize the distribution of new articles at global fashion retailer Zara.
Dr. Mersereau has published in premier academic journals including Operations Research, Manufacturing and Service Operations Management, IEEE Transactions on Automatic Control, and Production and Operations Management.  He and co-authors received the 2009 M&SOM Best Paper Award for the paper “Retail Inventory Management When Records Are Inaccurate.”

He teaches operations management, statistics, and decision modeling at UNC Kenan-Flagler. He has received several teaching awards, including the Weatherspoon Award for excellence in MBA teaching.

He joined UNC Kenan-Flagler after serving on the faculty of the University of Chicago Graduate School of Business.

Prior to his academic career, he worked as an analyst in Goldman, Sachs and Company’s fixed income division, where he advised large corporate and sovereign debt issuers.

Dr. Mersereau earned his PhD in operations research from the Massachusetts Institute of Technology. He earned his BSE in electrical engineering, summa cum laude, from Princeton University. ### Areas of Expertise

• big data/analytics
• operations
• optimization
• quantitative methods
• retail