In 2010, I finished my diploma thesis in Computer Science at the Technical University of Munich (TUM) on simulation and visualization of the free surface lattice Boltzmann equation on GPUs.
At the end of 2010, I joined the chair of Scientific Computing in Computer Science being part of the research group of Prof. Bungartz at TUM as a doctoral candidate. Here, I worked in the Invasive Computing Transregio Project (DFG funded). My work in this project was two-folded: In collaboration with other members of the project I redesigned algorithms to support dynamical resource management on embedded systems. For high-performance systems, I developed a new run-length encoded cluster-based parallelization method for efficiently running simulations on dynamically adaptive triangular grids with the MPI+X (OpenMP/TBB) parallelization model and presented the benefits of dynamic resource management for Tsunami parameter studies.
I was appointed as a proleptic lecturer in 2015 at the University of Exeter, conducting research and establishing collaborations in the interdisciplinary areas of scientific and high-performance computing. Areas are e.g. biological parameter estimation on accelerator cards, time integration and parallel-in-time methods, ocean, climate and weather simulations, etc.
In 2018 I joined the chair of Computer Architectures and Parallel Systems at the Technical University of Munich. Here, I continue my research in interdisciplinary areas, targeting to bridge the gap between high-performance computing and applied mathematics.