01
Multi-stage Stochastic Programming
Developing efficient and theoretically sound solving methods for MSSP's. Applying MSSP's to grid-resilience dispatch under hurricane forecast uncertainty.
Jean-Christophe
Raymond-Bertrand
I build mathematical models for decisions under uncertainty.
Stochastic optimization, integer programming, and data-driven methods applied to energy systems, transportation, and public policy.
PhD
Operations Research
Virginia Tech, Aug 2025 – 2030
BS
Industrial Engineering
University of Illinois, Aug 2021 – May 2025
4
Working papers
Stochastic & integer programming
About
Decision-making under uncertainty.
I am a second-year PhD student in the Grado Department of Industrial & Systems Engineering at Virginia Tech, working with Dr. Rohit Kannan on data-driven stochastic optimization.
My current work extends theory on stochastic programming methods that integrate contextual side information to a multi-stage setting, and Stochastic Dual Dynamic Programing (SDDP) & Mixed-Integer Linear Programs (MILP) formulations for dispatching mobile power sources under hurricane forecast uncertainty.
Before Virginia Tech, I graduated with highest honors from the University of Illinois Urbana-Champaign in Industrial Engineering, with research on applying large-scale MILP's to measure fairness in automated traffic enforcement, and engineering education.
Research focus
Three active areas.
02
Stochastic Optimization
Working on applications at the interesection of optimization and probabilities & statistics. Formulated financial optimization model coupling irregular probability distributions with non-convex constraints and objective.
03
Integer & Non-linear Programming
Large-scale MILP formulations in Julia/JuMP and Python/GurobiPy, developed fairness model for Chicago automated traffic enforcement.
Blog
Latest writing.
Open to research collaborations & OR internships.
Looking for a candidate to solve dynamic complex data-driven decision-making problems? Working on stochastic programming, multi-stage optimization, or something adjacent? I'd be glad to hear from you.