Summary
Franco Zivcovich is a research scientist and applied mathematician with nine years of experience specializing in numerical analysis and high-performance scientific computing, currently working at Neurodec in Paris. His background blends rigorous academic training (PhD summa cum laude) with hands-on development of exponential integrators, Krylov-subspace methods, and matrix exponential algorithms from collaborations at Manchester, UPV, and FreeFem++ projects. He has a strong track record in multiscale and control problems, translating advanced numerical theory into efficient implementations for scientific software. Comfortable in international research environments, he moves between academia and industry and is open to remote opportunities that leverage his expertise in scalable numerical methods. An often-overlooked strength is his history of producing reproducible, performance-focused routines—work that bridges theoretical error estimates and practical HPC deployment.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computational Mathematic, 110/110 and honour, Master's degree, Computational Mathematic, 110/110 and honour at Università degli Studi di Verona
Sofia University St. Kliment Ohridski
PhD, Mathematics, Summa cum Laude, PhD, Mathematics, Summa cum Laude at Università degli Studi di Trento
Italian, English, French, Spanish