I have received funding from the NSERC Discovery Grant program and ComputeCanada’s Resources for Research Groups.
Tutorial accepted to AAAI-21 on Recent Advances in Integrating Machine Learning and Combinatorial Optimization
My research interests are in Artifical Intelligence, particularly in the areas of machine learning and discrete optimization. My goal is to develop machine learning techniques that enable faster optimal decision-making in real-world applications. I focus primarily on discrete optimization, a core paradigm in operations research, and design data-driven approaches for solving large-scale problems arising in sustainability, transportation, and logistics. I was previously an IVADO Postdoctoral Scholar at Polytechnique Montréal, where I worked with Andrea Lodi. I did my Ph.D. in Computational Science and Engineering at Georgia Tech, where I worked with Bistra Dilkina, and collaborated closely with George Nemhauser.
Ph.D. in Computational Science & Engineering, 2019
M.S. in Computer Science, 2014
B.S. in Computer Science, 2012
American University of Beirut