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:

Mar 03, 2026	I will again be at the German Crystal Growth Conference to give talks about physics-informed machine learning for coupled heat transport problems and AI-based wafer defect detection.
Feb 01, 2026	New preprint available online: Physics-Informed Operator Learning for Parameter Estimation in Lithium-Ion-Battery Models Enhanced by Global Experimental Design and Local Identifiability Analysis. Led by Philipp Brendel; joint work with Andreas Rosskopf, Vincent Lorentz, and Felix Dietrich.
Jan 26, 2026	I gave a one hour talk titled Bridging numerics and scientific machine learning for industrial applications within the FAU MoD Lecture Series. [Webpage]
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]