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Dr Renata Retkute

Research Associate
Dr Renata Retkute
Department of Plant Sciences
University of Cambridge
Downing Street

Cambridge CB2 3EA
Office Phone: 01223 748957


My research has focused on modelling and parametrisation of biological systems at different spatial and temporal scales, based on the experimental and observed data.

Research Interests


 Retkute R., Touloupou P.,  Basanez M.G., Hollingsworth D.T., Spencer S.E (2020) Integrating geostatistical maps and transmission models using adaptive multiple importance sampling. Spatial and Spatio-temporal Epidemiology. doi: 10.1101/2020.08.03.20146241

 Retkute R., Dilger E., Hamilton J.G.C., Keeling M.J. (2020) Spatial modelling of sand fly vector’s response to a synthetic sex-aggregation pheromone: impact on the incidence of visceral leishmaniasis in rural and urban settings. doi: 10.1101/2020.10.18.20214569

Stutt R.O.J.H., Retkute R., Bradley M., Gilligan C.A., Colvin J. (2020) A modelling framework to assess the likely effectiveness of facemasks in combinationwith ‘lock-down’ in managing the COVID-19 pandemic. Proc.R.Soc.A476: 20200376 doi: 10.1098/rspa.2020.0376 

Minter A.*, Retkute R.* (2019) Approximate Bayesian Computation for infectious disease modelling, Epidemics, 29: 100368,  doi: 10.1016/j.epidem.2019.100368

Retkute R., Jewell C.P., Van Boeckel T., Zhang G., Xiao X., Thanapongtharm W., Keeling M., Gilbert M., Tildesley M.J. (2018) Dynamics of the 2004 avian influenza H5N1 outbreak in Thailand: the role of duck farming, sequential model fitting and control, Preventive Veterinary Medicine, 159: 171-181, doi:10.1016/j.prevetmed.2018.09.014

Machine Learning 

Tarka A.L. and The DREAM Preterm Birth Prediction Challenge Consortium [et al, including Retkute, R.] (2020) Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth,  


Foo C.C., Burgess A.J., Retkute R., Tree-Intong P., Ruban A.V., E H Murchie E.H.(2020) Photoprotective energy dissipation is greater in the lower, not the upper regions of a rice canopy: a 3D analysis,  Journal of Experimental Botany, eraa411, doi:10.1093/jxb/eraa411

Retkute R., Townsend A.J., Murchie E.H., Jensen O.E., Preston S.P. (2018) Three-dimensional plant architecture and sunlit-shaded patterns: a stochastic model of light dynamics in canopies, Annals of Botany, 122:2 291-302, doi:10.1093/aob/mcy067

Burgess A.J., Retkute R., Herman T., Murchie E.H. (2018) Exploring Relationships between Canopy Architecture, Light Distribution, and Photosynthesis in Contrasting Rice Genotypes Using 3D Canopy Reconstruction, Frontiers in Plant Science, 8:734 1-15, doi:10.3389/fpls.2017.00734

Genome Replication

Dimude J.U., Stein M., Andrzejewska E.E., Khalifa M.S., Retkute R., Skovgaard O., Rudolph C.J. (2018) Origins left, right and centre: increasing the number of initiation sites in the Escherichia coli chromosome, Genes 9(8), 376, doi:10.3390/genes9080376

Ivanova D., Taylor T., Smith S.L., Dimude J.U., Upton A.L., Mehrjouy M.M., Skovgaard O., Sherratt D.J., Retkute R., Rudolph C.J. (2015) Shaping the landscape of the Escherichia coli chromosome: replication- transcription encounters in cells with an ectopic replication origin, Nuclear Acids Research , 43(16): 7865- 7877, doi: 10.1093/nar/gkv704

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The Department has carried out a comprehensive COVID-19 risk assessment process and has opened to allow research work to take place. To ensure the safety of our staff, a range of measures to reduce building occupancy and allow strict social distancing have been introduced, including increased cleaning and hygiene regimes. We are currently not accepting visitors so please continue to contact us by email until further notice.