
Prof. Dr.
Matthias Feurer
Principal Investigator
Resource-aware ML
Further information
Matthias Feurer is an Assistant Professor (Juniorprofessor) for Automated Machine Learning and Optimization at TU Dortmund University since 2025 and faculty member of the Lamarr Institute for Machine Learning and Artificial Intelligence. Before joining TU Dortmund University, he was a Thomas Bayes Fellow of the Munich Center for Machine Learning and an interim professor at LMU Munich. Previously, he was a PostDoc at the machine learning lab at the Albert-Ludwigs-Universität Freiburg, from which he also obtained his PhD.
Matthias aims to simplify the usage of Machine Learning by researching methods and developing tools that allow the usage of Machine Learning by domain scientists and also make it more efficient for expert users. His focus is on Automated Machine Learning (AutoML), which encompasses methods for hyperparameter optimization, meta-learning, and model selection. In addition, he embraces thorough benchmarking and researches tools and methods to support these. As part of these efforts, he is also a member of the OpenML project, where researchers can share machine learning artifacts – mostly datasets – for collaborative research.