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

2020 - ...:		Assistant Professor at the Department of Statistics, Athens University of Economics and Business, Athens, Greece.
2018 - 2019:		Adjunct Lecturer at the Department of Statistics, Athens University of Economics and Business, Athens, Greece.
September 2015 - July 2018:		Research Associate at the University of Manchester, Faculty of Biology Medicine and Health: Division of informatics, imaging and data sciences.
September 2012 - August 2015:		Research Associate at the University of Manchester, Faculty of Life Sciences.
September 2011 - August 2012:		Research Associate at URGV - Plant Genomics Research, INRA, Evry, France.

Research Interests

My research combines statistical inference on latent class models with computationally intensive applications. I have worked extensively on estimating mixture models both from Bayesian and frequentist perspectives. My PhD thesis proposed a solution to the label switching problem in Bayesian analysis of mixtures of distributions as well as a modification of the reversible jump MCMC algorithm for univariate normal mixtures. As a post-doc researcher at URGV plant genomic unit I developed an initialization scheme of the EM algorithm for the efficient estimation of Poisson GLM mixtures (research project: Unsupervised clustering of RNA-Sequencing data). I worked for six years at the University of Manchester with Professor Magnus Rattray at projects of Bayesian Inference and Statistical Bioinformatics, such as the development of Bayesian methods for estimating transcript expression and performing differential expression analysis in next generation sequencing data, clustering biomedical data and inferring change-points in replicated time-series. More recent projects include model-based clustering of high-dimensional data, identifiability of Bayesian Factor Analytic Models and developing methods for Bayesian inference in cure rate models.