معرفی
Jun.-Prof. Dr. Jan Stühmer is an Assistant Professor and Principal Investigator (PI) at the Helmholtz Institute for Information Technology (HITS). His research focuses on machine learning, artificial intelligence, and their interdisciplinary applications in molecular mechanics, protein structure prediction, and materials science. He explores advanced graph neural networks, neuro-symbolic systems, and geometric algorithms to address challenges in computational biology, weather forecasting, and computer vision.
Key research interests include permutation-invariant learning models (e.g., Set-LLM), error correction in machine learning systems, and the development of physics-based force fields like Grappa. His work bridges theoretical computer science with practical applications in drug design, materials discovery, and climate modeling.
Recent contributions highlight innovations in protein design through geometric algebra, dynamic graph representation learning, and the optimization of crystal structure networks. Dr. Stühmer’s methodologies often integrate spatial information learning and ensemble forecasting techniques, showcasing a commitment to impactful, cross-disciplinary research.
Despite extensive publications since 2009, no awards or grants are explicitly mentioned in the provided data. His academic trajectory reflects a sustained focus on advancing machine learning fundamentals and their real-world implications.
