Elias Erik Jarlebring

See http://www.math.kth.se/~eliasj

I am a professor at the Department of Mathematics at KTH Royal Institute of Technology. My research focuses on numerical linear algebra, particularly eigenvalue problems, Krylov subspace methods, matrix functions, and nonlinear eigenvalue problems. I develop and analyze mathematical algorithms for computational problems arising in science and engineering, with applications in areas such as physics, systems and control, optimization, and machine learning.

My research combines theoretical analysis, algorithm development, and computational applications. I am also actively involved in the development of open-source scientific software, primarily in the Julia programming language, contributing to several projects related to numerical linear algebra and scientific computing.

My research is supported by the Swedish Research Council (VR) and the Swedish e-Science Research Centre (SeRC), where I am also a member. I am a Digital Futures Faculty member, participating in interdisciplinary research connecting mathematics, computational methods, and digital technologies.

At KTH, I have taught numerical analysis and numerical linear algebra at all levels, from introductory courses in numerical methods to advanced courses at master's and doctoral levels. My teaching includes Matrix Computations (SF2524). I am Director of Studies for the international master's programme Computer Simulations for Science and Engineering (COSSE), responsible for the Computational Mathematics track within Applied and Computational Mathematics (TTMAM), and coordinator of master's degree projects in numerical analysis. I received my PhD in Mathematics from TU Braunschweig in 2008 and subsequently worked as a postdoctoral researcher at KU Leuven in Belgium. I joined KTH in 2011 as a Dahlquist Research Fellow and became a full professor in 2021, and spent longer research time-periods at institutions such as LL Berkeley, EPFL and Univ. Geneva.

I welcome collaborations with researchers and industry partners interested in numerical linear algebra, computational mathematics, and their applications.