Theodore Papamarkou


  • Reader in the Mathematics of Data Science, Statistics
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Personal profile

Research interests

My research spans probabilistic machine learning. I am interested in addressing questions related to uncertainty quantification and to approximate inference with big data or with high-dimensional models. My two main research projects pertain to approximate Markov chain Monte Carlo (MCMC) for Bayesian deep learning and to neural network Gaussian processes (NNGPs).

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 16 - Peace, Justice and Strong Institutions

External positions

Adjunct Professor, University of Tennessee

12 Mar 202112 Mar 2024

Research Beacons, Institutes and Platforms

  • Digital Futures


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