I am on the job market for academic tenure-track positions and industry research roles!
Check out my résumé (research & teaching statements coming soon).
Please get in touch if you have an interesting role for me!
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.
October 2018: Presenting a poster on Combinatorial Attacks on Binarized Neural Networks at the workshop on the Theoretical Foundation of Deep Learning (TFDL 2018) at Georgia Tech.
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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