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Overview

Georgios Karagiannis

Associate Professor, Statistics

PhD University of Bristol


Affiliations
AffiliationRoom numberTelephone
Associate Professor, Statistics in the Department of Mathematical SciencesMCS3088+44 (0) 191 33 42718

Biography

I am an Associate Professor in Statistics at the Department of Mathematical Sciences at Durham University in UK. 

I have worked as a postdoctoral researcher in the Department of Mathematics of the Purdue University, and as a postdoctoral researcher in the Uncertainty Quantification group in the Pacific Northwest National Laboratory in USA. 

I hold a PhD degree in Mathematics (Statistics) from the School of Mathematics at the University of Bristol, and a BSc degree in Statistics from the Department of Statistics at the Athens University of Economical and Business studies

I am a Bayesian statistician with particular research interests in the development of methods for (i.) statistical modelling to address Bayesian computer model calibration and uncertainty quantification (UQ) problems; (ii.) statistical computing to facilitate inference in complex statistical models; and (iii.) machine learning. 

A number of my recent research projects/developments address modern statistical challenges such as `Big Data' and High-Dimensional problems one can meet in real applications, while they can be implemented in parallel computing environments.

Publications: https://www.maths.dur.ac.uk/~mffk55/publications.html

Some areas: https://www.maths.dur.ac.uk/~mffk55/research.html

Teaching: https://www.maths.dur.ac.uk/~mffk55/teaching.html

Research interests

  • Bayesian statistics
  • Machine learning, and Big-data analysis
  • Computational statistics, and Markov chain Monte Carlo
  • Uncertainty Quantification

Research groups

  • Probability & Statistics: Statistics
  • Probability & Statistics: Statistics
  • Probability and Statistics

Esteem Indicators

Publications

Conference Paper

Doctoral Thesis

  • Karagiannis, Georgios (2011). AISRJMCMC - Annealed Importance Sampling within Reversible Jump Markov Chain Monte Carlo algorithm a pseudo-marginal reversible jump MCMC algorithm. PhD.

Journal Article

Supervision students