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Yuri Faenza is an Associate Professor at the Data Science Institute and the Department of Industrial Engineering and Operations Research at Columbia University. His research focuses on Discrete Optimization and Operations Research, particularly on fundamental properties of efficient algorithms. His interests include Knapsack problems, Matching theory, Extended Formulations, and the intersection of Mathematical Programming and Computer Science, with a favorite application in Market Design related to School Choice. Faenza actively investigates the interactions between Discrete Optimization and Machine Learning, with projects funded by the National Science Foundation, including a CAREER award, as well as the AFOSR, ONR, and Swiss NSF. He has served on various program committees and is an associate editor for Mathematical Programming and Operations Research Letters. He joined Columbia in Fall 2016, previously holding positions as a SNSF Ambizione fellow and as a post-doctoral researcher at institutions including the University of Brussels, EPFL, and the University of Padua. He earned his PhD in Operations Research from Sapienza University of Rome under the supervision of Gianpaolo Oriolo.
Columbia University • New York, NY
Associate Professor in the Department of Industrial Engineering and Operations Research, and affiliated member of the Data Science Institute.
Department of Anthropology (GSAS)