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Dr Panayiota Touloupou

I am a Research Fellow working with Dr Simon Spencer and Prof Déirdre Hollingsworth. My current research focuses on combining geo-statistical mapping and transmission modeling to provide local estimates of the impact of intervention programs in priority countries in Africa. This position is funded by the Bill and Melinda Gates Foundation.

 

Research Interests

My research interests lie in Bayesian inference and model selection for partially observed stochastic epidemics. Applications have so far included Escherichia coli O157 in cattle, Pneumococcal carriage in households and Lymphatic Filariasis in Ethiopia.

Key topics of interest are:

dot.jpg Epidemiology

dot.jpg Stochastic epidemic models

dot.jpg Model selection

dot.jpg Bayesian inference

 

Publications

dot.jpg Naif Alzahrani, Peter Neal, Simon E.F. Spencer, Trevelyan J. McKinley, Panayiota Touloupou (2018). Model selection for time series of count data. Computational Statistics & Data Analysis, 122 (1), pp. 33 - 44. Full text

dot.jpg Joaquín M. Prada, Panayiota Touloupou, Moses Adriko, Edridah M. Tukahebwa, Poppy H. L. Lamberton and T. Déirdre Hollingsworth (2018). Understanding the relationship between egg- and antigen-based diagnostics of Schistosoma mansoni infection pre- and post-treatment in Uganda. Parasites & Vectors, 11 (1), 21. Full text

dot.jpg Panayiota Touloupou, Naif Alzahrani, Peter Neal, Simon E.F. Spencer, Trevelyan J. McKinley (2017). Efficient model comparison techniques for models requiring large scale data augmentation. Bayesian Analysis. (In Press). Full text

dot.jpg Panayiota Touloupou (2016). Bayesian inference and model selection for partially observed stochastic epidemics. PhD thesis, University of Warwick. Full text *** Winner of the Harrison award for highly commended thesis. ***


 

Oral Presentations

dot.jpg Scalable inference for epidemic models with individual level data. Oberwolfach Workshop: Design and Analysis of Infectious Disease Studies, Mathematisches Forschungsinstitut Oberwolfach, February 2018.

dot.jpg Scalable inference for epidemic models with individual level data. AMS Seminar Series, Heriot-Watt University, January 2018.

dot.jpg Statistical methods for merging geo-statistical maps and transmission models. Greek Stochastics ι', Milos, Greece. July 2017.

dot.jpg Scalable inference for Markov and semi-Markov epidemic models. OxWaSP Mini-Symposia, University of Warwick. March 2017.

dot.jpg Bayesian model selection for partially observed epidemic models. CRiSM Workshop: Estimating Constants, Department of Statistics, University of Warwick. April 2016.

dot.jpg Model comparison with missing data using MCMC and importance sampling. Algorithms & Computationally Intensive Inference Seminar, University of Warwick. March 2016.

dot.jpg Bayesian model selection for evaluation of epidemiological hypotheses: The epidemiology of Escherichia coli O157:H7 in feedlot cattle. Epidemics5, Clearwater Beach, Florida, USA. December 2015.

dot.jpg Scalable inference for Markovian and non-Markovian epidemic models. Greek Stochastics η', Crete, Greece. July 2015.

dot.jpg Bayesian model selection for partially observed stochastic epidemics. Young Researchers' Meeting (YRM) Seminar series of the Department of Statistics at Warwick. May 2014.

dot.jpg Modelling the transmission of Escherichia coli O157 in cattle. Warwick Infectious Disease Epidemiology Research (WIDER) Seminar, University of Warwick. December 2013.

    dot.jpg Modelling the transmission of Escherichia coli O157 in cattle. Young Researchers' Meeting (YRM) Seminar series of the Department of Statistics at Warwick. May 2013.

     

    Previous Education

    dot.jpg PhD in Statistics, University of Warwick, 2012-2016.

    Minus Supervisors: Dr Simon Spencer and Professor Bärbel Finkenstädt Rand.

    minus.jpg Thesis title: Bayesian Inference and Model Selection for Partially Observed Stochastic Epidemics.

    dot.jpg MSc in Statistics, University of Warwick, 2011-2012.

    minus.jpg Supervisor: Dr Simon Spencer.

    minus.jpg Thesis title: Evaluating Diagnostic Tests in the Absence of a Gold Standard.

    dot.jpg BSc in Mathematics and Statistics, University of Cyprus, 2007-2011.

     

    Teaching

    dot.jpg ST218 - Mathematical Statistics Part A (Tutorial).

    dot.jpg ST219 - Mathematical Statistics Part B (Tutorial).

    PT

    Contact details

    Room 347
    Zeeman Institute
    Senate House
    University of Warwick
    CV4 7AL
     
    Email: P.Touloupou.1 (at) warwick.ac.uk
    Marks Always say what you feel and what you think... No one will remember you for your secret thoughts. marks2 

    Gabriel García Marquez
    PhD topic!

     

    Cows