Panagiotis (Panos) Papastamoulis
personal webpage

	Panagiotis Papastamoulis
	Address:  Department of Statistics
	Athens University of Economics and Business
	Patision 76, 104 34, Athens.
	Office:      12 Kodrigktonos Str., 1st floor.
	E-mail:   papastamoulis[at]aueb.gr
	Tel:  +30 210 - 8203 454

Education

2003:		BSc in Mathematics, Department of Mathematics, University of Patras, Greece
2005:		MSc in Applied Statistics, Department of Statistics and Insurance Science, University of Piraeus, Greece
2010:		Ph.D. in Statistics, Department of Statistics and Insurance Science, University of Piraeus, Greece Thesis: Solution to the Label Switching problem in Bayesian analysis of mixtures of distributions (supervisor Prof. G. Iliopoulos)

A copy of my PhD thesis can be found here (in Greek).

Academic Record

2026 - ...:		Associate Professor of Statistical Methodology at the Department of Statistics, Athens University of Economics and Business, Athens, Greece.
2020 - 2026:		Assistant Professor of Statistical Methodology at the Department of Statistics, Athens University of Economics and Business, Athens, Greece.
2018 - 2020:		Adjunct Lecturer at the Department of Statistics, Athens University of Economics and Business, Athens, Greece.
2015 - 2018:		Research Associate at the University of Manchester, Faculty of Biology Medicine and Health: Division of informatics, imaging and data sciences.
2012 - 2015:		Research Associate at the University of Manchester, Faculty of Life Sciences.
2011 - 2012:		Research Associate at URGV - Plant Genomics Research, INRA, Evry, France.

Short Bio

I am a statistician working at the interface of latent variable modelling and computationally intensive data analysis. My research aims at the development of principled statistical methodology, with a particular focus on mixture models and Bayesian inference.

During my PhD, I addressed the label-switching problem in Bayesian mixture models and developed a modification of the reversible jump MCMC algorithm for Gaussian mixtures. As a postdoctoral researcher at the URGV Plant Genomics Unit, I designed an efficient initialization strategy for the EM algorithm to estimate Poisson GLM mixtures, applied to the unsupervised clustering of RNA-sequencing data.

I then spent six years at the University of Manchester working with Professor Magnus Rattray on projects in Bayesian inference and statistical bioinformatics. This work included the development of Bayesian methods for transcript expression estimation and differential expression analysis in next-generation sequencing data, clustering of biomedical data, and change-point detection in growth time series.

Since joining the faculty at AUEB, my research has focused on model-based clustering for high-dimensional data, identifiability in Bayesian factor analytic models, Bayesian cure rate models, and statistical methods for directional data analysis.

A detailed list of my publications can be found here.

I welcome inquiries from prospective PhD students. If you are interested in pursuing doctoral research under my supervision, please contact me to discuss potential projects.