Arnaud Deza

I am a PhD student in the Machine Learning program at Georgia Tech supervised by Pascal Van Hentenryck. At Georgia Tech, I am 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 chains, 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 under the supervision of Yong Zhang and Zirui Zhou.

News and Updates

Traveled to Salesforce Chicago Tower to present my research on large-scale routing and scheduling optimization.

I moved to San Francisco for the summer to intern at Salesforce as an Applied Scientist!

Attended ISCP 2025 held at École des Ponts in Paris, France

Started my PhD in Machine Learning at Georgia Institute of Technology and joined AI4OPT.

I successfully defended my master's thesis.

I presented our work and attended INFORMS 2023 in Phoenix, Arizona.

I attended CP 2023 in Toronto, Canada.

Started my internship at Huawei in Vancouver.

Started my MASc at the University of Toronto in the MIE department!