Valentina Schüller
About
I am a PhD student in Numerical Analysis at Lund University, supervised by Philipp Birken. My research focuses on coupling algorithms for multiphysics problems, particularly for environmental models involving air and water flows. In this context, I study Waveform Relaxation as a high-order black box coupling method. See also my profile in Lund University’s Research Portal.
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MSc (hons.) in Computational Science & Engineering, 2023
Technical University of Munich
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BSc in Engineering Science, 2020
Technical University of Munich
Projects
Coupled Groundwater-Surface Flows
I am studying the numerical properties of coupling algorithms for flood prediction models. This is a project in collaboration with Philipp Birken and Andreas Dedner.
Coupling Algorithms in the EC-Earth AOSCM
Adapting the single column version of the EC-Earth climate model to study atmosphere-ocean coupling.
The oscillator example for testing black-box coupling schemes
A small Python program to test convergence order in time and energy conservation for a simple ODE system.
BGCE Honor’s Project
As part of the Bavarian Graduate School of Computational Engineering (BGCE), we worked on the parallelization and scalability of a circuit simulator for Infineon Technologies.
SWEET x LibPFASST
Ensuring interoperability of SWEET, a C++ shallow water equation solver, with LibPFASST, a lightweight Fortran implementation of the parallel-in-time PFASST algorithm. I worked on this as part of a student assistant job with Martin Schreiber.
EC-Earth 4 Monitoring
An open-source, Python-based monitoring tool for the EC-Earth climate model. Developed as part of my internship at the Swedish Meteorological and Hydrological Institute.