معرفی
Prof. Dr. Stefan Kesselheim is a Professor at Forschungszentrum Jülich GmbH, where he leads the Simulation and Data Lab Applied Machine Learning within the Jülich Supercomputing Centre (JSC). As a Principal Investigator (PI) in the Helmholtz Information Program 1, Topic 1, he bridges Machine Learning and Artificial Intelligence with Statistical Physics and Molecular Modeling.
- Education: PhD in Physics (2014), University of Stuttgart
- Current Role: Head of SDL Applied Machine Learning & AI Consultant Team
- Contact: +49 2461/61-85927
Stefan's research focuses on AI applications for scientific challenges, including plasma simulations, materials science, and renewable energy systems. He specializes in integrating differentiable programming and neural compression with high-performance computing, particularly for geospatial and energy analytics.
His recent publications emphasize trends in European large language model (LLM) development, multi-modal AI for protein foundation models, and AI-driven energy infrastructure optimization. His team's work on OpenGPT-X and MISATO datasets highlights cross-disciplinary collaborations in computational biology and AI ethics.
Stefan's lab hosts the AI consultant team, supporting academia and industry in developing tailored machine learning approaches. He contributes to solar power plant optimization via differentiable ray tracing and explores activation function design in neural networks, bridging mathematical theory and computational practice.
