Sajad Modaresi

Sajad Modaresi is an Assistant Professor of Operations at the Kenan-Flagler Business School, University of North Carolina at Chapel Hill. His research integrates analytical modeling, statistical methods, and machine learning to address operational decision problems and design practical solutions. He specializes in data analytics for retail operations, online personalization, and dynamic decision-making under uncertainty.

• PhD in Operations Management, Fuqua School of Business, Duke University
• MS in Industrial Engineering, University of Pittsburgh
• BS in Industrial Engineering, Sharif University of Technology

Modaresi’s work focuses on developing machine learning algorithms for dynamic operational decisions, such as optimizing personalized assortment and pricing strategies. He also investigates consumer choice models in retail environments. His research bridges estimation and optimization to create adaptive systems for uncertain settings.

His publications include studies on data-driven assortment personalization, combinatorial optimization, and consumer perception of brands. These works have been recognized with awards from prestigious competitions like the MSOM Student Paper Competition and INFORMS JFIG Paper Competition.

• First Prize, 2018 MSOM Student Paper Competition
• Second Prize, 2013 INFORMS JFIG Paper Competition
• Finalist, 2021 MSOM Data-Driven Challenge

Modaresi teaches courses in business analytics, retail operations, data-driven decision-making, and operations management, emphasizing practical applications of analytics in real-world scenarios.