Kathryn Lund
Kathryn Lund
Photo credit: Teodor Nikolov
Ph.D./Dr. rer. nat.
Ph.D./Dr. rer. nat.
Mathematician specializing in numerical linear algebra, matrix functions, Krylov subspace methods, and high-performance computing
Mathematician specializing in numerical linear algebra, matrix functions, Krylov subspace methods, and high-performance computing
- As of September 2019, I am a PRIMUS-funded postdoc in the Faculty of Mathematics and Physics at Charles University in Prague. I am working on "Scalable and Accurate Numerical Linear Algebra for Next-Generation Hardware" under Erin Carson.
- My doctorate was jointly awarded by Temple University in Philadelphia, Pennsylvania, USA and the Bergische Universität Wuppertal in Wuppertal, Germany for my thesis A New Block Krylov Subspace Framework with Applications to Functions of Matrices Acting on Multiple Vectors. I was supervised by Daniel B. Szyld and Andreas Frommer.
- I have a bachelors degree in Spanish and volunteered as an English teacher for Puentes de Salud in South Philly for a few years. In addition to Spanish, I speak German, French, Bulgarian, Czech, and Arabic to varying degrees. Check out my hobbies page for my favorite language resources.
- Do you know what endometriosis is? Visit the inner matrix to learn more.
Updates and News
Updates and News
- 10 August 2020: Along with some friends in the NLA community, we have launched a new online seminar aimed at supporting early career researchers. To sign up or apply to give a talk, check out Communications in NLA.
- 06 June 2020: Limited-memory polynomial methods for large-scale matrix functions has been accepted for publication in the ANLA Topical Issue of GAMM Mitteilungen.
- 20 May 2020: Block Krylov subspace methods for functions of matrices II: Modified block FOM is live on SIAM Journal on Matrix Analysis and Applications.
- 20 Feb 2020: The tensor t-function: a definition for functions of third-order tensors is live on Numerical Linear Algebra with Applications.
- 06 Feb 2020: Two new pre-prints are up on arXiv: Compress-and-restart block Krylov subspace methods for Sylvester matrix equations and Limited-memory polynomial methods for large-scale matrix functions.
- 29 Jan 2020: I've been invited to give a plenary talk at the upcoming XXI Householder Symposium on Numerical Linear Algebra. UPDATE: Householder has since been canceled due to the COVID-19 pandemic, but a book of abstracts has been posted online.