Bernhard Schölkopf

Bernhard Schölkopf (born February 20, 1968)[1] is a director at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, where he heads the Department of Empirical Inference.

He is a leading researcher in the machine learning community, where he is particularly active in the field of kernel methods. He has made particular contributions to support vector machines and kernel PCA. A large part of his work is the development of novel machine learning algorithms through their formulation as (typically convex) optimisation problems.

Employment

  • since 2011: Director at the Max Planck Institute for Intelligent Systems (Managing Director 1.5.2011 - 31.1.2013)
  • 2001 – 2010: Director at the Max Planck Institute for Biological Cybernetics (Managing Director 1.8.2006– 31.7.2009)
  • 2000 – 2001: Group leader at the biotech startup Biowulf Technologies, New York
  • 1999 – 2000: Researcher at Microsoft Research Ltd., Cambridge
  • 1997 – 1999: Researcher at GMD (German National Research Center for Computer Science), Berlin

Education

  • 1997: PhD in Computer Science (TU Berlin)
  • 1994: Diplom in Physics, University of Tübingen (Germany)
  • 1992: M. Sc. in Mathematics, University of London
  • 1988 – 1994: Studies of Physics, Mathematics and Philosophy in Tübingen and London

Recent awards and memberships (selection)

2018

2017

2016

2014

2012

  • Annual Academy Prize , Berlin-Brandenburgische Akademie der Wissenschaften
  • Guest Professor, ETH Zürich, Department Informatik

2011

  • Posner keynote lecturer at the Neural Information Processing Systems conference
  • Annual Max Planck Research Award
  • Annual Brain Computer Interfacing Research Award (with Moritz Grosse-Wentrup)

2010

  • Inclusion in the list of ISI Highly Cited Researchers
  • Honorarprofessor, Department of Mathematics and Physics, Tübingen University
  • Professory extraordinary, Department of Mathematical Science, Stellenbosch University, 2010 – 2012

References

  1. ↑ "Bernhard Schölkopf CV" (PDF). Retrieved September 22, 2015.
  2. ↑ ACM Recognizes 2017 Fellows for Making Transformative Contributions and Advancing Technology in the Digital Age, Association for Computing Machinery, December 11, 2017, retrieved 2017-11-13

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