Omar El Housni is an assistant professor of operations research and information engineering at Cornell Tech and Cornell Engineering. He is also a field member of the Center of Applied Mathematics at Cornell.
El Housni’s research focuses on decision-making under uncertainty, where he aims to develop optimization models and design robust and efficient algorithms to address a wide range of operational problems, including revenue management problems such as assortment optimization and online matchings.
El Housni has spent time as a research and data scientist at Amazon and Uber, where he contributed to the design and implementation of data-driven optimization models for matching and retailing platforms. He is currently an Amazon Scholar.
He holds a Ph.D. in operations research from Columbia University and an M.S. and B.S. in applied mathematics from École Polytechnique, Paris. His work has been recognized by the INFORMS George Nicholson award, and his current research is supported by NSF.