Arnaud Deza

From the top of Yebisu Tower 🇯🇵

Arnaud Deza

PhD Student in Machine Learning at Georgia Institute of Technology | AI4OPT

CV

My work sits at the intersection of machine learning, optimization, and decision-making systems, with a focus on large-scale optimization for supply chain, logistics, manufacturing, and solver workflows.

Research Interests

Machine Learning Large Language Models Operations Research Large-scale Optimization GPU Optimization Discrete Optimization Optimization Solvers Routing and Scheduling

Education

2024-PresentAtlanta, GA

PhD in Machine Learning

Georgia Institute of Technology, ISyE

Supervised by Pascal Van Hentenryck.

2022-2024Toronto, ON

MASc in Industrial Engineering

University of Toronto, MIE Department

Supervised by Elias Khalil.

2018-2022Toronto, ON

BASc in Engineering Science

Machine Learning, University of Toronto

Experience

Fall 2026Luxembourg, LU

Incoming Applied Scientist

Amazon

Summer 2026San Francisco, CA

Applied Scientist

Salesforce

2024-PresentAtlanta, GA

Graduate Researcher

AI Institute for Advances in Optimization

Summer 2023Vancouver, BC

Research Engineer

Huawei Technologies Canada

Selected Publications

Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks

Deza, A., Khalil, E. B., Fan, Z., Zhou, Z., & Zhang, Y. (2025). "Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks." AAAI.

Paper

Machine Learning for Cutting Planes in Integer Programming: A Survey

Deza, A., & Khalil, E. B. (2023). "Machine Learning for Cutting Planes in Integer Programming: A Survey." IJCAI (Survey Track).

Paper

Fast Matrix Multiplication Without Tears: A Constraint Programming Approach

Deza, A., Liu, C., Vaezipoor, P., & Khalil, E. B. (2023). "Fast Matrix Multiplication Without Tears: A Constraint Programming Approach." CP.

Paper