Dr Renata Retkute | Department of Plant Sciences

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Research Group

Epidemiology and Modelling

Research Overview

Background in mathematical modelling and statistics developing strategies for experimental design and parametrisation of biological systems at different spatial and temporal scales.

Currently developing strategies for forecasting risk arising from dispersion of invasive pests e.g. desert locust and arboviruses (banana bunchy top virus, BBTV) affecting staple food crops across regions of Sub-Saharan Africa.

Interests in Bayesian parameter estimation, machine learning and remote sensing.

Previous Positions

2015-2020 Research Fellow, The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER), University of Warwick
2012-2015 Research Fellow, School of Biosciences, University of Nottingham

Qualifications

PhD Mathematics, Glasgow Caledonian University
MSc System Analysis, Klaipeda University
BSc. Hons. Mathematics, Klaipeda University

Key Publications

Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling (2021), The Annals of Applied Statistics

Statistical methods for linking geostatistical maps and transmission models: Application to lymphatic filariasis in East Africa (2020), Spatial and Spatio-temporal Epidemiology

Benchmarked approaches for reconstruction of in vitro cell lineages and in silico models of C. elegans and M. musculus developmental trees (2021), Cell Systems

A modelling framework to assess the likely effectiveness of facemasks in combinationwith ‘lock-down’ in managing the COVID-19 pandemic (2020), Proceedings of the Royal Society A

Approximate Bayesian Computation for infectious disease modelling (2019), Epidemics

All Publications

Websites

Epidemiology and Modelling Group