Kathryn Lund
Ph.D./Dr. rer. nat.
Experienced mathematician and educator specializing in numerical linear algebra and scientific computing
I am currently a postdoctoral researcher at the Max Planck Institute for Dynamics of Complex Technical Systems (MPI-DCTS) in Magdeburg, Germany. I am a member of the Data, Infrastructure, Software & Computing (DISC) team, led by Jens Saak, which is under the umbrella of the Computational Methods in Systems and Control Theory (CSC) group, led by Peter Benner. My primary focus is TA2 (Scientific Computing) in the ambitious Mathematical Research Data Initiative (MaRDI).
Prior to moving to Magdeburg, I spent a year in Zürich learning German, tutoring, looking for work, and making friends. Before that, I worked as a postdoc under Erin Carson at Charles University and, before that, under Daniel Kressner at the Swiss Federal Institute of Technology Lausanne (EPFL).
My doctorate was jointly awarded in 2018 by Temple University and the Bergische Universität Wuppertal 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 Philadelphia. In addition to Spanish, I speak German, Bulgarian, and a few other languages to varying degrees. Check out my hobbies page for my favorite language-learning resources.
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News
Jan 2022: Block Gram-Schmidt algorithms and their stability properties is now live on Linear Algebra and its Applications.
Sept 2021: The stability of block variants of classical Gram-Schmidt has been published in SIMAX.