Dr. Manuel Baumann

I am a postdoctoral researcher in the group Simulation of Energy Systems at the Max Planck Institute in Magdeburg. I recently finished my PhD in applied mathematics at TU Delft under the supervision of Kees Vuik and Martin van Gijzen. My research lies in the field of numerical linear algebra and model-order reduction.


Max Planck Institute for Dynamics of Complex Technical Systems
Computational Methods in Systems and Control Theory
Sandtorstra├če 1, 39106 Magdeburg, Germany
Room: S 3.13
P: +49 391 6110 349
P:+49 391 6110 450 (D. Noatsch-Liebke)

Research interests

From my point of view, the field Numerical Analysis is best described as the connecting scientific discipline between theoretical considerations of physical phenomena which arise in engineering science and their numerical solution on state-of-the-art hardware. In more detail, my scientific interest includes mostly partial differential equations and their fast numerical solution after discretization. This typically leads to large sparse linear systems of equations. The fast numerical solution of large-scale linear systems with iterative methods is a key problem in numerical linear algebra. During the last years, the following fields have been the focus of my scientific interest:

Curriculum Vitae [cv.pdf]


Apr 18 ‒ ongoing

Jul 13 ‒ Jan 18

PhD researcher at TU Delft, department of Numerical Analysis

Oct 09 ‒ Aug 11

Student research assistant at the working group Modelling, Numerics and Differential Equations at TU Berlin: simulation and control of fluid/fluid dispersions

Jun 09 ‒ Sep 09

Internship at DLR Braunschweig, CASE Department: coupled flow-structure simulations with MPI


Aug 11 ‒ Jun 13

Double master's degree cum laude from KTH Stockholm (Scientific Computing) and TU Delft (Applied Mathematics)

Oct 08 ‒ Aug 11

Bachelor's degree in Mathematics from TU Berlin

Oct 07 ‒ Mar 11

Bachelor's degree in Scientific Engineering from TU Berlin


German: mother tongue

English: business fluent

French: fluent

Dutch: learning


Matlab, Python, Fortran

Parallel Programming with MPI and CUDA