Christopher Straub

I am a researcher in the AI-augmented Simulation group at Fraunhofer Institute for Integrated Systems and Device Technology IISB in Erlangen (Germany). My research interests include

• physics-informed neural networks and their applications,
• applications of geometric deep learning for automating control cabinet assembly.

I have a background in mathematics, where I obtained my PhD in 2024 under the joint supervision of Gerhard Rein (University of Bayreuth) and Mahir Hadžić (University College London). My doctoral research was focused on the analysis of partial differential equations from galactic dynamics using mathematical and numerical methods. Concretely, I worked on

• proving the existence of linearly damped and pulsating galaxies,
• studying the stability of star clusters in general relativity,
• analyzing (the spectrum of) differential operators,
• simulating non-linear PDE systems numerically via high-performance computing in C++.