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Computational Sciences & Mathematics

Staff information

Georgios Karagiannis

Georgios Karagiannis

Computational Mathematics
Post Doctorate RA C
Pacific Northwest National Laboratory
PO Box 999
MSIN: K7-90
Richland, WA 99352

Research Interests

  • Bayesian statistics, model selection
  • Markov chain Monte Carlo methods, Trans-dimensional
  • Sequential Monte Carlo methods

Education and Credentials

  • PhD in statistics, Department of Mathematics, University of Bristol, UK
  • BSc in statistics, Department of Statistics, Athens University of Economics and Business, Greece

PNNL Publications


  • Karagiannis G, and G Lin. 2014. "Selection of Polynomial Chaos Bases via Bayesian Model Uncertainty Methods with Applications to Sparse Approximation of PDEs with Stochastic Inputs." Journal of Computational Physics 259:114-134.  doi:10.1016/
  • Konomi BA, G Karagiannis, A Sarkar, X Sun, and G Lin. 2014. "Bayesian Treed Multivariate Gaussian Process with Adaptive Design: Application to a Carbon Capture Unit." Technometrics 56(2):145-158.  doi:10.1080/00401706.2013.879078


  • Karagiannis G, and C Andrieu. 2013. "Annealed Importance Sampling Reversible Jump MCMC algorithms." Journal of Computational and Graphical Statistics 22(3):623-648.  doi:10.1080/10618600.2013.805651

Advanced Computing, Mathematics, and Data


Seminar Series

Fundamental & Computational Sciences

ACMDD Research

Research highlights

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