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Omar El Housni is an Assistant Professor in the School of Operations Research and Information Engineering at Cornell University. His research revolves around decision-making under uncertainty, with a focus on designing robust and efficient algorithms for a wide range of dynamic optimization problems, including applications in revenue management and matching platforms. Omar has interned as a data scientist at Amazon and Uber, where he contributed to the design and implementation of data-driven optimization models for matching in retailing platforms. He holds a Bachelor's degree in Applied Mathematics from École Polytechnique in France, a Master of Science, and a Ph.D. in Operations Research from Columbia University.
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