Guillaume Marques

Operations Research

Paris, Ile-de-France
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Summary

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Senior
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Top School
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.
code11 years of coding experience
bookTechnical degree, Software engineering, Technical degree, Software engineering at IUT de Bordeaux
bookDoctorat, Operations Research, Doctorat, Operations Research at Université de Bordeaux
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Github Skills (62)

cut10
nonlinear10
mathematical-programming10
linear-optimization10
mixed-integer-programming10
decomposition10
sparse-matrix10
mathematical10
nonlinear-programming10
integer10
quantile10
slice10
linear-programming10
modeling10
julia10

Programming languages (6)

JuliaJavaSchemeJavaScriptHTMLPython

Github contributions (5)

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atoptima/PisingerKnapsack.jl

Jul 2018 - May 2020

Julia interface for Pisinger's algorithms
Contributions:1 review, 64 commits, 3 PRs in 1 year 10 months
julia-interfacejulia-languagejulia
Dynamic sparse vector and matrix for julia
Contributions:1 release, 10 reviews, 133 commits in 3 years
dataframessparse-matrixsparsequantilematrix
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Guillaume Marques - Operations Research