!!Peter Dayan - Curriculum Vitae
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__Education:__
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*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
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__Personal statement__\\
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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. \\
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__Appointments__
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*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)\\
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__Honors:__
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*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\\ \\[{ALLOW view All}][{ALLOW edit pdayan}][{ALLOW upload pdayan}][{ALLOW comment All}]
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