Machine Learning in Science
Prof. Dr. Jakob Macke was appointed as Professor for "Machine Learning in Science" at Eberhard Karls University Tübingen, Faculty of Mathematics and Natural Sciences on May 01, 2020. The W3 professorship has been set up within the framework of our Cluster of Excellence "Machine Learning: New Perspectives for the Sciences".
Research Interests
Our goal is to accelerate scientific discovery using machine learning and artificial intelligence (AI): We develop computational methods that help scientists interpret empirical data and use them gain scientific insights. We closely collaborate with experimental researchers from various disciplines. We are particularly interested in applications in the neurosciences: We want to understand how neuronal networks in the brain process sensory information and control intelligent behaviour.
About
Jakob Macke studied mathematics at the University of Oxford. After his studies, he worked as a doctoral student at the Max Planck Institute for Biological Cybernetics in Tübingen, as a postdoc at the Gatsby Unit at University College London and as a Bernstein Fellow at the Max Planck Institute in Tübingen. From 2015 to 2018, he was Max Planck Group Leader at the Caesar Research Centre in Bonn, and from 2017 he was also professor at the Centre for Cognitive Science at the Technical University of Darmstadt. From 2018 to 2020, Macke was Professor of Computational Neuroengineering at the Technical University of Munich. From 2013 to 2018 he was a member of the Young Academy at the German Academy of Sciences Leopoldina.
Contact
Prof. Dr. Jakob Macke
Machine Learning in Science
University of Tübingen
Cluster of Excellence "Machine Learning"
Maria-von-Linden-Str. 6, 4th floor
Room No. 40-28/A24
72076 Tübingen
Secretary:
Franziska Weiler
+49 7071 29-70850
Franziska.Weiler@uni-tuebingen.de