François Pacaud
Assistant Professor at Mines Paris
Fontainebleau, Ile-de-France
Summary
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Rockstar🎓
Top SchoolFrançois Pacaud is an applied mathematics researcher and optimization engineer with a decade of experience building and deploying large-scale nonlinear optimization solvers for scientific and industrial applications. He moved from industry roles improving and scaling Knitro and solving MINLP/OPF challenges at Artelys to a postdoctoral position at Argonne where he designed GPU-accelerated optimization algorithms and supported DOE projects. Now an Assistant Professor at Mines Paris, he combines hands-on solver development, teaching and student supervision with grant writing and multidisciplinary collaboration. Known for tackling decomposition and bundle-method approaches on real-world large-scale problems, he brings a rare blend of production-grade software engineering and deep theoretical expertise in numerical optimization.
10 years of coding experience
1 year of employment as a software developer
Thèse de doctorat, Applied Mathematics, Thèse de doctorat, Applied Mathematics at École des Ponts ParisTechMaster of Science (MS), Geostatistic and Applied Probabilities, Master of Science (MS), Geostatistic and Applied Probabilities at MINES ParisTechMathématiques et physique, Mathématiques et physique at Lycée Pothier
English, German, Spanish, French
Github Skills (139)
linear-optimization10
stochastic10
solver10
mathematical10
abstraction10
gpu10
nonlinear-dynamics10
linear-programming10
optimization10
nonlinear10
integer10
stochastic-processes10
ipopt10
least-squares10
julia10
Programming languages (8)
Github contributions (5)
frapac/frapac.github.io
Feb 2019 - Feb 2025
Contributions:44 pushes, 1 branch in 6 years
frapac/dotfiles
Oct 2016 - Dec 2021
Contributions:12 pushes, 1 branch in 5 years 2 months
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