Elias Jarlebring is an applied mathematics professor and computational scientist at KTH with 11+ years of research and academic experience building numerical linear algebra methods and scientific software. Self-taught in programming from age 12, he combines deep theory in nonlinear and multiparameter eigenproblems with practical algorithm development and is a lead developer of NEP-PACK, used for large-scale nonlinear eigenvalue computations. His work spans Krylov and Arnoldi methods, Newton-type iterations, model reduction, and matrix functions, with applications across control, acoustics, electromagnetics, data science, and quantum chemistry. He has a PhD from TU Braunschweig and a track record of translating advanced perturbation and eigenvalue theory into robust computational tools that solve real-world physics and engineering problems.
11 years of coding experience
5 years of employment as a software developer
Trinity College, Dublin
Master of science, Technical Physics, Master of science, Technical Physics at KTH Royal Institute of Technology
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at Technische Universität Carolo-Wilhelmina zu Braunschweig / TU Braunschweig
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