Hector Fellow since 2018
Prof. Dr. Bernhard Schölkopf
  1. Home
  2. Research
  3. Hector Fellows
  4. Prof. 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.

Max-Planck-Institut Multidisziplinare Naturwissenschaften - Biophysische Chemie
Doctor­ate Currently not vacant

Bernhard Schölkopf is currently unavail­able to super­vise doctoral projects.

   

The Age of Artifi­cial Intelligence

How Bernhard Schölkopf Is Shaping the Future of AI

Artifi­cial Intel­li­gence (AI) is rapidly trans­form­ing our society. Bernhard Schölkopf, direc­tor at the Max Planck Insti­tute for Intel­li­gent Systems, is one of the leading researchers in the field. In this video portrait, he discusses the oppor­tu­ni­ties and risks of AI, as well as its appli­ca­tions in science, partic­u­larly in astron­omy, where KI can open new perspec­tives on the study of exoplan­ets and gravi­ta­tional waves. But AI also raises societal questions: How does it influ­ence politics and public opinion? Schölkopf advocates for a respon­si­ble approach to AI and the impor­tance of strong European research.

   
Forschungsfeld Informatik

— Infor­mat­ics

Forschungsfeld Physik

— Physics

Forschungsfeld Mathematik

— Mathe­mat­ics

Infor­mat­ics, Physics, Mathematics

Research Fields

5
Machine learn­ing
5
Causal Infer­ence
5
Statis­ti­cal learn­ing theory