Guillaume Marques is an operations research specialist with 11 years of experience translating advanced mathematical models into production-ready decision software for large-scale infrastructures. Based in Paris, he has led R&D and full-stack development across deeptech startups and public research labs, notably developing Coluna (a Branch-cut-and-price framework) and industrializing a national-scale gas network optimization and simulation tool at GRDF. His work spans Julia, JuMP, C++, Python and commercial solvers (Gurobi, CPLEX), combining exact combinatorial methods from a PhD with pragmatic CI/CD-driven engineering. A finalist for the VeRoLog doctoral prize and an author of highly cited papers, he blends academic rigor with product delivery and has a track record of mentoring teams, recruiting early hires, and shaping validation strategies that proved superior to legacy systems.
11 years of coding experience
Technical degree, Software engineering, Technical degree, Software engineering at IUT de Bordeaux
Doctorat, Operations Research, Doctorat, Operations Research at Université de Bordeaux
Contributions:1 release, 10 reviews, 133 commits in 3 years
dataframessparse-matrixsparsequantilematrix
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