Prof. Dr. Stefan Haufe
Prof. Dr. Stefan Haufe
Fellow
Prof. Dr. Stefan Haufe is a computer scientist and currently Professor of Uncertainty, Inverse Modeling, and Machine Learning at TU Berlin. At the same time, he heads the Machine Learning and Uncertainty Group at Physikalisch-Technische Bundesanstalt Berlin (PTB) and the Brain and Data Science Group at Charité - Universitätsmedizin Berlin.
His main interest is in the development of signal processing, machine learning, and inverse modeling techniques for neuroimaging data, and in clinical applications of such techniques. His group is also concerned with the use of machine learning in critical care and with general questions of quality assurance for machine learning, including the question how to validate and design machine learning model explanations.
The group's research is currently supported by the European Research Council, the German Federal Ministry for Economic Affairs and Climate Action (BMWK) within the programme “Metrology for Artificial Intelligence in Medicine” (M4AIM), the Dr. Johannes Heidenhain Foundation, and the European Partnership on Metrology (EPM), co-funded by the Member States and the European Union.
Welcome Prof. Dr. Stefan Haufe
A warm welcome to Prof. Dr. Stefan Haufe as a new BIFOLD Fellow. Stefan Haufe is Professor of computer science and, since 2021, the head of the Uncertainty, Inverse Modeling and Machine Learning (UNIML) group at Technische Universität Berlin as well as Head of the working group Machine Learning and Uncertainty at Physikalisch-Technische Bundesanstalt (PTB) and Head of Brain and Data Science group, Berlin Center for Advanced Neuroimaging (BCAN) - Charité.