About Me

I am a mathematician specializing in numerical analysis and partial differential equations (PDEs), with a strong focus on engineering applications and computational biophysics. My research bridges mathematical theory, advanced numerical algorithms, and high-performance computing to develop predictive simulation tools for multiphysics systems. Currently, I am a project leader in the Computational Methods for PDEs group at the Johann Radon Institute for Computational and Applied Mathematics (RICAM). I obtained my PhD at the Technical University of Munich under the supervision of Prof. Barbara Wohlmuth.
Research profile and expertise
- Numerical analysis of PDEs: development and analysis of discretization schemes that are stable, structure-preserving, and efficient.
- Model Reduction and Complex Systems: Analysis and simulation of multiphysics problems (e.g., fluid-structure interaction, poroelasticity) and mixed-dimensional models.
- Uncertainty Quantification and Stochastic PDEs: Analysis and computations for systems with random inputs and stochastic effects.
- Control and Stabilization: Feedback control and optimization for PDE systems, linking theoretical analysis with computational approaches.
- Computational biophysics & biomedical engineering: Phase-field and PDE-based modeling of tumor growth, tissue mechanics, and transport phenomena, with relevance to individualized medicine and oncophysics.