David Simchi-Levi

David Simchi-Levi is the William Barton Rogers Professor in Energy at the Massachusetts Institute of Technology, affiliated with the Civil and Environmental Engineering department. His research focuses on supply chain management and business analytics, with a notable contribution being the development of the Risk Exposure Model for assessing supply chain resilience and risk-tolerance. He also serves as the head of the MIT Data Science Lab. Simchi-Levi is recognized as a leader in supply chain management and has authored several influential books on the subject. He is the current Editor-in-Chief of Management Science and has held editorial roles at other prominent journals in operations research. Additionally, he has founded several companies focused on supply chain optimization and operations analytics.

David Simchi-Levi is a Professor of Engineering Systems at MIT, specializing in Operations Research, Statistical Learning, Revenue Management, and Supply Chain. His research focuses on optimizing supply chain operations through analytical methods, including demand forecasting, pricing strategies, and inventory control. He has extensively studied the bullwhip effect, information sharing, and the impact of forecasting techniques on supply chain dynamics. His work also addresses supply chain disruptions, risk aversion, and the integration of statistical learning for decision-making. Simchi-Levi's publications highlight the application of algorithms and robust strategies to enhance logistics and supply chain management.