Christopher Straub
I am a postdoctoral researcher in the AI-augmented Simulation group at Fraunhofer Institute for Integrated Systems and Device Technology IISB in Erlangen (Germany). My research focuses on scientific machine learning, in particular,
- physics-informed machine learning and its industrial applications,
- methodological improvements of physics-informed neural networks.
I have a background in mathematics, where I obtained my PhD in March 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 damped and pulsating galaxies,
- studying the stability of star clusters in general relativity,
- simulating non-linear PDE systems numerically via high-performance computing in C++.
Recent news:
| Mar 24, 2025 | I will be attending some conferences this spring, including the meeting of EMS activity group on Scientific Machine Learning and the Annual GAMM meeting. Looking forward to discussing physics-informed machine learning with you there! |
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| Mar 06, 2025 | My paper Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings has been accepted at the ICLR 2025 Workshop on Machine Learning Multiscale Processes. [LinkedIn post] |
| Feb 23, 2025 | I gave a ceremonial lecture at the award ceremony of the Mathematical Olympiad in Bavaria. [News article] [LinkedIn post] |
| Feb 22, 2025 | My first engineering paper Geometric deep learning as an enabler for data consistency and interoperability in manufacturing has been published. Great collaboration with FAPS! [LinkedIn post] |
| Sep 05, 2024 | My first single-authored paper Numerical experiments on stationary, oscillating, and damped spherical galaxy models has been published. |