Hector Fellow since 2018Prof. Dr. Bernhard Schölkopf
Prof. Dr. Bernhard Schölkopf
Max Planck Institute for Intelligent Systems, Tübingen site
Bernhard Schölkopf is director at the Max Planck Institute for Intelligent Systems, affiliated professor at ETH Zurich, and honorary professor at the University of Tübingen and TU Berlin.
He studies the detection of regularities from observational data. He has significantly shaped the research field of machine learning with his work on kernel methods, showing that a large range of learning algorithms can be generalized to the nonlinear case and to non-vectorial data. More recently, he has combined machine learning and causal inference to develop new methods to recognize causal structures (in addition to statistical dependences) from observational data.
Bernhard Schölkopf is a member of the German National Academy of Sciences (Leopoldina) and has been awarded the Gottfried Wilhelm Leibniz Prize of the DFG (German Research Foundation), the Milner Award of the Royal Society, the BBAW Foundation Frontiers of Knowledge Award, and the Koeber European Science Award.