About
I am a scientist in the
Numerical Methods Division at the
Max Planck Institute for Plasma Physics,
doing research at the intersection of numerical analysis, differential geometry and
mathematical physics.
My work concerns the development of structure-preserving
discretisation methods for problems from fluid dynamics and plasma physics.
The guiding principle is to take advantage of geometric properties of the
equations in order to derive accurate and robust numerical schemes.
The resulting geometric integrators often represent the
underlying physics more realistically than standard methods
in addition to exhibiting good stability properties.
In recent years I apply these ideas to model order reduction and
scientific machine learning.
I also have a strong interest in Research Software Engineering and
Scientific Computing with Julia. I am lead author of various
Julia packages
for Geometric Numerical Integration and Reduced Complexity Modelling.
News
| November 18, 2021 | Election: Employee Representative in IPP's Works Council |
| October 18, 2021 | Grant: "MILK: MachIne Learning for reduced Kinetic models", ANR-DFG Research Grant |
| April 1, 2021 | Promotion: Group Leader of Geometric Numerical Integration and Reduced Complexity Modelling |
Events
|
September 04 - 08, 2023, Lisbon, Portugal |
European Conference on Numerical Mathematics and Advanced Applications (ENUMATH 2023) |
|
June 12 - 21, 2023, Paris, France |
Foundations of Computational Mathematics (FoCM 2023) |
|
April 25 - 28, 2023, Cannes, France |
IACM Computational Fluids Conference (CFC 2023) |
|
February 26 - March 3, 2023, Amsterdam, Netherlands |
SIAM Conference on Computational Science and Engineering (SIAM CSE 2023) |
|
July 25 - 29, 2022, Reykjavík, Iceland |
SciCADE 2021/22 |