Santa Fe Institute

Groups

Research Areas

Focus Areas

  • Cellular automata and random fields on networks
  • Foundations of statistics and statistical mechanics
  • Hidden Markov models and stochastic automata
  • Neural coding and computation
  • Nonlinear prediction theory
  • Political networks
  • Quantitative measures of complexity and self-organization
  • Statistical inference and machine learning for stochastic processes
  • Statistics of heavy-tailed distributions
  • Structure and information flow in complex networks

Cosma Shalizi

External Professor

Assistant Professor, Carnegie Mellon University, Statistics Department

Curriculum Vitae

Bio

I work on methods for building predictive models from data generated by stochastic processes, and applying those models to questions about neural information processing, self-organization in cellular automata, and so forth. All of this is about using tools from probability, statistics, and machine learning to understand large, complex, nonlinear dynamical systems. This is why my dissertation was in statistical physics, but I now teach in a statistics department.

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