Zum Inhalt springen

Prof. Dr. Jakob Runge
ELLIS Scholar
ELLIS program “Machine Learning for Earth and Climate Science”
Professor of Data Science at the Institute of Artificial Intelligence, Technical University Dresden
Guest Professor of Climate Informatics, Electrical Engineering and Computer Science, Technical University Berlin

Jakob is a Professor of Data Science (W3) at Technical University Dresden within the German excellence initiative’s Center for Interdisciplinary Digital Sciences (CIDS) in the department ScaDS.AI, as well as TU Dresden’s Faculty of Computer Science. His core research is on theory, methods, and accessible software for causal inference on time series data with applications to Earth system sciences and beyond. Jakob studied physics at Humboldt University Berlin (Germany) and UC Santa Cruz (USA) and obtained my PhD with research at the Potsdam Institute for Climate Impact Research in 2014. From 2016 to 2017 he was a James S. McDonnell Fellow at Imperial College London. From 2017 to 2024 Jakob headed the Causal Inference Group at DLR. In 2020 Jakob won an ERC Starting Grant with his interdisciplinary project CausalEarth and founded another branch of his research group at Technische Universität (TU) Berlin in 2021.

Mail: jakob.runge@​tu-dresden.de
Publications: Google Scholar
Official Website: https://tu-dresden.de/ing/informatik/ki/das-institut/Forschungsgruppen

Dr. Conrad H. PHILIPP
European Laboratory for Learning and Intelligent Systems (ELLIS)
ELLIS Unit Jena | Project Coordinator