Santa Fe Institute


Research Themes

Research Projects

Interest Areas

  • Evolution of Languages
  • Evolution of social behavior
  • Game Theory
  • Information theory based metrics of neural complexity

David Wolpert

Professor, Santa Fe Institute

Curriculum Vitae


David Wolpert comes from Los Alamos where he was the Ulam scholar at the Center for Nonlinear Studies.  Before that he was at NASA Ames Research Center and a consulting professor at Stanford University, where he formed the Collective Intelligence group. He has worked at IBM and a data mining startup, and been external faculty at numerous institutions (including the Santa Fe Institute).

His current research focuses on

  • i) Game theory
  • ii) The application of machine learning to both optimization and to Monte Carlo methods
  • iii) Complexity measures
  • iv) Evolution of technology
  • v) Information theory
  • vi) The foundations of physics and inference

His degrees are in physics, from UC Santa Barbara and from Princeton.

He is the author of three books, three patents, over one hundred refereed papers, and has received numerous awards.


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