Dr. Jakob Macke (born 1982) has been appointed to the professorship for Machine Learning in Science at the Faculty of Mathematics and Natural Sciences at the University of Tübingen. This professorship was established in the Cluster of Excellence “Machine Learning – New Perspectives for the Sciences” as of the summer semester 2020.
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.
Jakob Macke’s research goal is to accelerate scientific discovery using machine learning and artificial intelligence: He wants to develop computational methods that help scientists interpret empirical data and use them to discover and constrain theoretical models. To this end, he collaborates with experimental researchers from various disciplines. He is particularly interested in applications in the neurosciences: He wants to understand how neuronal networks in the brain process sensory information and control intelligent behavior, and to develop methods for the diagnosis and therapy of neuronal dysfunction.
Further information can be found here.