Armand Touminet
PHD Student at Hutchinson
Bures-sur-Yvette, Île-de-France, France
Summary
👤
Senior🎓
Top SchoolArmand Touminet is a PhD student and applied mathematician with nine years of experience developing data-driven numerical methods for predicting and identifying mechanical properties in heterogeneous elastic media, with a practical focus on discontinuous long-fiber composites used in prepreg-based sheet molding compounds and long fiber thermoplastics. His background blends academic rigor at MINES ParisTech and ENSTA ParisTech with industry-applied research at Hutchinson, where he transitioned from project lead to doctoral research. Strong foundations in multiscale simulation, optimization and deep learning are complemented by earlier work on mesh partitioning and a rewarded Discontinuous Galerkin implementation at UC Merced. Based in Île-de-France, he excels at turning advanced numerical theory into tools for real composite materials engineering, bridging simulation, machine learning and high-performance computing. An implicit strength is his experience moving ideas from internships in national labs and research institutes into industrial R&D contexts, making him effective at applied research translation.
9 years of coding experience
Applied maths, Applied maths at ENSTA ParisTech - École Nationale Supérieure de Techniques AvancéesDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at MINES ParisTechClasse préparatoire MPSI/MP*, Classe préparatoire MPSI/MP* at Lycée Blaise Pascal - Orsay (91)
Github Skills (56)
mesh9
partitioning9
graph9
adapter9
child-process9
partitioner9
rust9
command-line-tool8
fenics8
compiler8
directories8
pattern8
regex8
concurrent8
debug8
Programming languages (5)
Github contributions (5)
Armand-Touminet/mo101-agile-tdd-clone
Mar 2017 - Dec 2017
Contributions:1 PR, 2 pushes, 1 branch in 8 months
Armand-Touminet/CR7
Apr 2017 - Dec 2017
Contributions:7 pushes, 1 branch, 1 comment in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.