About me

I completed my PhD in Theoretical Physics at the Johannes Kepler University (JKU) Linz, Austria, followed by a postdoctoral stay at the State University of New York at Buffalo, United States, on the topic of quantum liquids such as superfluid helium at absolute zero. Since 2014, I have been working on the multiscale problem of complex multiphase and multiphysics flows as a Senior Scientist at the Department of Particulate Flow Modelling at JKU, where I lead the projects on particle-based simulations with a focus on data-driven methods. Based on these activities, I earned my Habilitation (venia docendi) in 2021.

Since 2026, I am the head of the CD Lab for Data-Assisted Simulations of Complex Flows. My fantastic team develops data-assisted methods that are fast enough for the analysis and optimization of complex flows with an emphasis on energy-intensive, metallurgical processes. Ultimately, it will be possible to simulate such systems several orders of magnitude faster than with current methods using hardware accessible to most researchers. The ability of neural operators to include additional data such as sparse sensor signals will enable real-time simulations that can be leveraged for digital process twins, aiding in the green transformation of industry.