I am on the job market for tenure-track positions in Computer Science or Operations Research!
Check out my CV (research and teaching statements available upon request).
Please get in touch if you have an interesting opening for me!
I am a Ph.D. candidate in Computational Science and Engineering at Georgia Tech.
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.
I am advised by Professor Bistra Dilkina. I also collaborate with Prof. George Nemhauser.
Prior to GT, I studied for my bachelor's at the American University of Beirut, Lebanon.
News:
January 2019: Submitted a new paper to ICML-2019 on (deep) learning of heuristics for general integer programming. Technical report coming soon to the ArXiv!
December 2018: Combinatorial Attacks on Binarized Neural Networks (Poster) is accepted to ICLR 2019 - see you in New Orleans!
June-July 2018: Giving a Master Class on learning algorithms for combinatorial optimization at CPAIOR 2018 in Delft, and attending/presenting at ISMP 2018 in Bordeaux!
October 2017: Best Poster Award at the INFORMS Annual Meeting 2017! Check out the poster on "Learning in Discrete Optimization"
September 2017: Paper accepted to NIPS 2017 for a Spotlight presentation (top 4% of submissions)!
July 2017: Check out this 3-minute CompSust-2017 lightning talk summarizing my current research: Youtube link.
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!
Education:
Research Experience:
Publications:
Contact Info:
lyes[at]gatech.edu