Theodore Papamarkou

Research scientist

Oak Ridge National Laboratory

About me

My main research interest is mathematical statistics as a probabilistic tool for analyzing data and for quantifying predictive uncertainty. Bayesian statistics is my preferred inferential framework, since it resembles the logical process of updating decisions on the basis of currently available information and beliefs.

Neural networks interest me due to their modelling capacity as universal function approximators and due to the inferential implications of their parameter symmetries.

Information about my professional trajectory can be found in my CV.


  • Mathematical statistics
  • Bayesian statistics
  • Machine learning
  • Neural networks
  • Neuroscience
  • Artificial Intelligence


  • PhD in statistics, 2009

    University of Warwick

  • MSc in statistics, 2005

    University of Warwick

  • BSc in mathematics, 2004

    University of Ioannina

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