SERGIOS AGAPIOU
Transcription
SERGIOS AGAPIOU
SERGIOS AGAPIOU Personal Data Address Department of Statistics, Zeeman Building, University of Warwick Coventry, CV4 7AL, United Kingdom Phone UK: +44 (0) 78975183 / CY: +357 99518636 Email [email protected] Homepage http://www.sergiosagapiou.com University Education 10/2010 – 09/2013 University of Warwick PhD in Mathematics, supervised by Prof. Andrew Stuart Thesis: Aspects of Bayesian Inverse Problems 10/2009 – 09/2010 University of Warwick MSc in Mathematics with distinction (GPA 90.2%) Dissertation: A Classical and a Bayesian Approach to Linear Ill-Posed Inverse Problems 10/2004 – 09/2009 National Technical University of Athens BSc in Applied Mathematical and Physical Sciences with first-class honors (GPA 96.9%) Diploma dissertation: Stable and Infinitely Divisible Distributions Professional Experience 12/2014 – 11/2016 University of Warwick Postdoctoral Research Fellow, Department of Statistics, part of EQUIP project, supervised by Prof. Gareth Roberts 10/2013 – 11/2014 University of Warwick Postdoctoral Research Fellow, Mathematics Institute, supervised by Prof. Andrew Stuart Research Interests Problems in Applied Mathematics at the interface of Differential Equations and Probability/Statistics; Bayesian regularization of inverse problems in infinite dimensions, posterior consistency in the small noise limit; analysis of sampling algorithms in high dimensions; unbiasing techniques for estimation in function space; importance sampling; Besov priors. List of Publications S. Agapiou, J. M. Bardsley, O. Papaspiliopoulos and A. M. Stuart - Analysis of the Gibbs sampler for hierarchical inverse problems (SIAM/ASA J S. Agapiou, A. M. Stuart and Y. X. Zhang - Bayesian posterior contraction rates for linear severely ill-posed inverse problems (J. Inverse Ill-posed Probl. ) S. Agapiou, S. Larsson and A. M. Stuart - Posterior contraction rates for the Bayesian approach to linear ill-posed inverse problems (Stochastic Process. Appl., 123/10, 2013) Preprints / in preparation S. Agapiou, P. Mathé - Preconditioning the prior to overcome saturation in Bayesian inverse problems (submitted, arxiv:1409.6496) S. Agapiou, G. O. Roberts, S. Vollmer - Unbiased estimation in function space (in preparation) S. Agapiou, O. Papaspiliopoulos, D. Sanz Alonso, A. M. Stuart - Aspects of importance sampling in high dimensional and low noise regimes (in preparation) Teaching Experience 2013/14 – present Lecturer of 3rd year course Control Theory MA3H7. May and July 2012 Gottingen and Peking University Assistant for lecture series The Bayesian approach to inverse problems and Data Assimilation, by Prof. Andrew Stuart. Taught the examples classes and helped with preparation of the lecture notes. 2010/11 – 2012/13 University of Warwick Teaching assistant for 3rd year course Control Theory MA3H7. Scientific Programming Skills Matlab, Mathematica (working level), Java, C++ (basic level) Scholarships – Awards 2009 – 2013 MSc and PhD funding by European Research Council through Prof. Andrew Stuart’s grant. 2009 Award for the highest GPA of class 2009 of the School of Applied Mathematical and Physical Sciences of NTUA. 2004 – 2009 Scholarship for undergraduate studies Greek Scholarships Foundation. 2004 – 2009 Various awards for performance as an undergraduate including awards for highest GPA in each year. Selected Talks and Posters (slides available on homepage) Mar. 2014, Savannah Analysis of the Gibbs sampler for hierarchical inverse problems, SIAM conference on Uncertainty Quantification June 2013, Amsterdam Posterior contraction rates for Bayesian inverse problems, 9th conference on Bayesian Nonparametrics Jan. 2013, Oxford Posterior contraction rates for Bayesian inverse problems, Stochastic Analysis seminar at Oxford-Man Institute Nov. 2012, Canberra Posterior contraction rates for Bayesian inverse problems, Canberra Symposium on Regularization at Australian National University May 2012, Warwick Justification of the posterior in Bayesian linear inverse problems using precision operators, workshop on Bayesian Inverse Problems Sept. 2011, Gothenburg PDE techniques for Bayesian inverse problems, Computational and Applied Mathematics seminar at Chalmers University of Technology Other Academic Activities 2014 – present Co-organizer of the EQUIP lunch seminar and organizer of reading group on the Bayesian approach to inverse problems Apr. 2014 Co-organizer of minisymposium Markov chain Monte Carlo in high dimensions, MCQMC2014 conference at KU Leuven 2013 – present Reviewer for the Electronic Journal of Statistics and the Scandinavian Journal of Statistics 2012 – present SIAM Warwick student chapter member 2011 – present Isaac Newton Institute junior member Selected Schools/Workshops attended June 2014, Edinburgh - ICMS workshop, Computational methods for statistical mechanics – at the interface between mathematical statistics and molecular simulation July 2012, Warwick - MASDOC Applied Mathematics summer school, Applied and Numerical Analysis of PDEs and SDEs June 2012, Huntsville - NSF/CBMS short course, Ten lectures on Small Deviation Probabilities: Theory and Applications Mar. 2012, Oxford - LMS-EPSRC short course, Stochastic Modeling in Biological Systems Sept. 2011, Surrey - Summer school, Analytic Methods in PDEs July 2011, Cambridge - Introductory Workshop on Inverse Problems Apr. 2011, Oxford - LMS-EPSRC Short Course, Topics in Probability