Bernhard Schölkopf's scientific interests are in machine learning and causal inference. He has applied his methods to a number of different fields, ranging from biomedical problems to computational photography and astronomy. Bernhard has researched at AT&T Bell Labs, at GMD FIRST, Berlin, and at Microsoft Research Cambridge, UK, becoming a Max Planck director in 2001. He has (co-)received the Academy Prize of the Berlin-Brandenburg Academy of Sciences and Humanities, the Royal Society Milner Award, the Leibniz Award, the Koerber European Science Prize, and the BBVA Foundation Frontiers of Knowledge Award. He is Fellow of the ACM and of the CIFAR Program "Learning in Machines and Brains", a member of the German Academy of Sciences, and a Professor at ETH Zurich. He co-initiated the MLSS series of Machine Learning Summer Schools, the Cyber Valley Initiative, the ELLIS grassroots initiative, and is co-editor-in-chief for the Journal of Machine Learning Research, an early development in open access and today the field's flagship journal.
- Causality, Spring 2022. Visiting Scientist.