Peter Dayan - Curriculum Vitae#

Education:

• University of Cambridge, England, B.A., 1983 - 1986, Mathematics
  
• University of Edinburgh, Scotland, PhD, 1988 - 1991, Physics
  
• Salk Institute, CA, Postdoc, 1991 - 1993, Comp. Neuroscience
  
• University of Toronto, Canada, Postdoc, 1993 - 1995, Computer Science

Personal statement

I am a computational neuroscientist. I work on the computational, psychological and neural bases of normal and dysfunctional decision-making in both animals and computers. Decision-making is one of the few areas in which there is a seamless integration of theory and experiments; I have been intimately involved in this consilience, and have collaborated with a range of experimental groups to design, test and refine the modern theory of choice in the face of reward and punishment. A key part of this work has concerned the many ways that decision-making can fail in the fact of neural, psychological and environmental problems.

Appointments

• 2020 - Present Professor, University of Tuebingen
  
• 2018 - Present Director, Max Planck Institute for Biological Cybernetics, Tuebingen
  
• 2017 - 2018 Leave of absence at Uber AI Labs
  
• 2002 - 2018 Professor, UCL, England
  
• 1998 - 2001 Reader in Computational Neuroscience, UCL, England
  
• 1995 - 1998 Assistant Professor, Brain and Cognitive Science, MIT, Cambridge, MA
  
• 1993 - 1995 Postdoctoral fellow at the University of Toronto (mentor: Geoff Hinton)
  
• 1991 - 1993 Postdoctoral fellow at the Salk Institute (mentor: Terry Sejnowski)
  

Honors:

• 2020 Alexander von Humboldt Professorship
  
• 2019 Elected fellow of the American Association for the Advancement of Science
  
• 2018 Elected Fellow of the Royal Society of London
  
• 2017 Brain Prize
  
• 2012 Rumelhart Prize