Christopher Straub
I am a Senior Scientist at the AI-augmented Simulation group at Fraunhofer IISB in Erlangen (Germany). I am leading the research activities on Scientific Machine Learning, focusing on
- Physics-Informed Machine Learning and its industrial applications,
- methodological improvements of Physics-Informed Neural Networks.
My work spans diverse industry-relevant applications, including semiconductor process simulations, lithography, battery modelling, and plastic deformation.
I have a background in mathematics, where I obtained my PhD in March 2024. My doctoral research was focused on the analysis of partial differential equations arising in galactic dynamics using mathematical and numerical methods.
Recent news:
| Jan 26, 2026 | I will give a lecture titled Bridging numerics and scientific machine learning for industrial applications within the FAU MoD Lecture Series. |
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| Jan 01, 2026 | I have been promoted to Senior Scientist! Looking forward to extending my research at Fraunhofer IISB within this permanent position. |
| Dec 01, 2025 | I was part of the Workshop on industrial applications of numerical analysis and machine learning at CWI as an industrial contributor. [LinkedIn post] |
| Sep 24, 2025 | I attended this year’s SISPAD, where two of our papers on the application of physics-informed machine learning for semiconductor process simulations were presented. |
| Aug 19, 2025 | My paper A Birman–Schwinger Principle in General Relativity: Linearly Stable Shells of Collisionless Matter Surrounding a Black Hole with S. Günther and G. Rein has been published. [LinkedIn post] |