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Amine Bennouna is an Assistant Professor in Operations at the Kellogg School of Management, Northwestern University. He completed his PhD at MIT’s Operations Research Center and holds both a Master of Science and a Bachelor of Science in Applied Mathematics from Ecole Polytechnique. His research focuses on understanding machines and artificial intelligence in decision-making processes, particularly through the development of novel learning algorithms that enable efficient and data-driven decision-making while emphasizing key attributes of reliability. His theoretical work leverages probability theory, optimization, and geometry to advance algorithmic applications. Bennouna has published extensively, contributing to notable journals and has been involved in various academic competitions, where he received several honors. He is also active in the academic community as a referee for multiple journals including Operations Research and Management Science as well as conferences such as NeurIPS.
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