My research interests are in the areas of machine learning and discrete optimization.
In particular, my goal is to improve discrete optimization solvers and algorithms by using machine learning.
Recently, I have been also working on discrete problems that arise in deep learning, where continuous optimization methods fail and combinatorial algorithms are more natural.
Prior to GT, I studied for my bachelor's at the American University of Beirut, Lebanon.
September 2017: Paper accepted to NIPS 2017 for a Spotlight presentation (top 4% of submissions)!
May 2017: I have received the Outstanding Poster award for discrete optimization at the NemFest Workshop 2017!
April 2017: Two papers accepted to IJCAI 2017 (see below)!
March 2017: I have received an IBM PhD Fellowship for 2017-2018. Thanks IBM!
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