Hybrid Machine Learning

Prof. Dr.
Stefan
Harmeling

Dr Harmeling studied mathematics and mathematical logic at the University of Münster (Dipl Math 1998) and computer science with an emphasis on artificial intelligence at Stanford University (MSc 2000). During his doctoral studies he was a member of Prof Klaus-Robert Müller’s research group at the Fraunhofer Institute FIRST (Dr rer nat 2004). Thereafter he was for two years a Marie Curie Fellow at the University of Edinburgh (2005-2007).  In 2007 he joined the Max Planck Institute of Biological Cybernetics in Bernhard Schölkopf’s department of Empirical Inference, which was later included in the new Max Planck Institute of Intelligent Systems in Tübingen. In 2014 he became Professor for Machine Learning at HHU Düsseldorf and since March 2022 he is Professor for Artificial Intelligence at TU Dortmund, Germany.  His interests include all aspects of machine learning and artificial intelligence, currently in particular, applications to inverse problems, deep learning, reinforcement learning and causal inference.