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Omar El Housni is an Assistant Professor in Operations Research and Information Engineering at Cornell Tech, as well as a member of the Center of Applied Mathematics at Cornell. His research focuses on decision-making under uncertainty and aims to develop optimization models and design robust and efficient algorithms to address a wide range of operational problems, including revenue management, assortment optimization, and online matchings. Before joining Cornell, El Housni spent time as a research data scientist at Amazon and Uber, contributing to the design and implementation of data-driven optimization models for matching in retail platforms. He is currently recognized as an Amazon Scholar. El Housni holds a Ph.D. in Operations Research from Columbia University and both a Master’s and Bachelor’s degree in Applied Mathematics from École Polytechnique in Paris. His work has received the INFORMS George Nicholson award, and his current research is supported by the National Science Foundation.
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