Amine Bennouna
Donald P. Jacobs Scholar
Assistant Professor of Operations
Amine Bennouna is an Assistant Professor in the Operations Department at the Kellogg School of Management. He completed his PhD at MIT’s Operations Research Center. Before joining MIT, he received a Bachelor and Master of Science in Applied Mathematics from Ecole Polytechnique.
His research focuses on understanding how machines, or artificial intelligence, learn to make decisions. Specifically, he develops novel learning algorithms to enable efficient, data-driven decision-making while emphasizing key reliability attributes. His work involves theoretical and algorithmic advancements, leveraging tools from probability theory, optimization, and geometry.
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PhD, 2024, Operations Research, MIT
MS, 2019, Applied Mathematics, Ecole Polytechnique
BS, 2018, Applied Mathematics, Ecole Polytechnique -
Honorable Mention, Public Sector Operations Research Best Paper Competition, INFORMS
Runner-up, Doing Good with Good OR Student Paper Competition, INFORMS
Honorable Mention, International Mathematical Olympiad
MIT Operations Research Center best student paper, MIT
Workshop on Data Science Best Student Paper, INFORMS
Runner-up, Data Mining Best Paper Award, INFORMS
Finalist, Service Science Best Cluster Paper, INFORMS -
Referee, Operations Research, 2023
Referee, Management Science, 2023
Referee, Journal of Applied Probability, 2025
Referee, NeurIPS, 2025
Referee, Automatica, 2025
Referee, INFORMS Journal on Optimization, 2024
Operations Management (OPNS-430-0)
1Ys: This course is typically waived through the admissions process or the equivalent course Operations Management (Turbo) (OPNS-438A) was completed during the Summer term. MMMs: This course is equivalent to the MMM core course Designing and Managing Business Processes (OPNS-440) Operations management is the management of business processes--that is, the management of the recurring activities of a firm. This course aims to familiarize students with the problems and issues confronting operations managers, and to provide the language, concepts, insights and tools to deal with these issues to gain competitive advantage through operations. We examine how different business strategies require different business processes and how different operational capabilities allow and support different strategies to gain competitive advantage. A process view of operations is used to analyze different key operational dimensions such as capacity management, cycle time management, supply chain and logistics management, and quality management. Finally, we connect to recent developments such as lean or world-class manufacturing, just-in-time operations, time-based competition and business re-engineering.