Nicolas Boumal is an associate professor in mathematics at EPFL with 12 years of research and academic experience focused on optimization, numerical methods, and data processing. His work spans Riemannian and convex optimization, bridging theoretical advances with practical applications in statistics and large-scale inverse problems. He progressed from a PhD in computational and applied mathematics to postdoctoral research at Inria and faculty positions at Princeton before joining EPFL, demonstrating sustained contributions to both teaching and research. Known for attacking application-driven theoretical questions, he blends rigorous analysis with algorithmic design for real-world data challenges. Based in Switzerland, he maintains an active research profile—publishing, mentoring, and translating optimization theory into computational tools. An uncommon strength is his track record of moving between deep theory and hands-on numerical methods, informed by early internships tackling seismic inverse problems at MIT.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Computational and Applied Mathematics, Doctor of Philosophy (PhD) Computational and Applied Mathematics at Université catholique de Louvain
Manopt, a Matlab toolbox for optimization on manifolds
Contributions:2 reviews, 895 commits, 43 PRs in 8 years 8 months
matlab-toolboxmanoptmatlabtoolboxoptimization
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.
Request Free Trial
Nicolas Boumal - Associate Professor In Mathematics