Arnaud Deza

I am currently a second year PhD student in the Machine Learning program at Georgia Tech supervised by Pascal Van Hentenryck. At Georgia Tech, I am a part of the National Science Foundation AI Research Institute for Advances in Optimization where I work on machine learning for large scale optimization in supply chain, logistics and manufacturing. I am grateful to be funded by the ISyE Presidential Herren Fellowship.

Prior to Georgia Tech, I completed a MASc at the University of Toronto in the Industrial Engineering Department under the supervision of Elias Khalil funded by an NSERC CGS-M. During this time I worked at the intersection of machine learning, discrete optimization and optimization solvers.

During my MASc, I was fortunate to intern at Huawei Technologies Canada, in the Vancouver Research Centre. During my internship I worked on integrating machine learning into discrete optimization solver subroutines where I was supervised by Yong Zhang and Zirui Zhou.

Education

• PhD in Machine Learning, Georgia Tech, 2024–Present
• MASc in Industrial Engineering, University of Toronto, 2022–2024
• BASc in Engineering Science (Machine Intelligence), University of Toronto, 2018–2022

Research Interests

• Operations Research
• Machine Learning
• Large Scale Optimization