ERASMUS+ EQF7 (2016-2017); Contributor of OpenLB (since 2018); DAAD PPP mobility (2019); KIT Faculty Teaching Award (2021); Summa Cum Laude for dissertation at KIT (2023); Oberwolfach Leibniz Graduate Student (2024); ZEISS Collaboration Catalyst (2024); FALCON (deputy member steering committee since 2024); Examples and Counterexamples (associate editor since 2024); NHR Normal compute grant (2025 to 2026); DAAD PRIME (2025).
Research Experience
Currently holding a DAAD PRIME postdoc fellowship within the CAMLab at ETH Zürich. Leading the LBRG Mathematical Modeling and Numerics Lab at KIT.
Background
Research interests: At the intersection of applied mathematics, scientific computing, and engineering, focusing on developing efficient numerical methods for complex multi-physics problems described by PDEs. Combining high-performance computing, uncertainty quantification, and machine learning to enable large-scale simulations and data-driven exploration of high-dimensional parameter spaces.