2015-date Senior Lecturer - University of Stirling 2006-2015 Lecturer - University of Stirling 2005-2006 Research Assistant - The University of Liverpool 2002-2005 PhD - The University of Liverpool 1999-2002 BSc in Mathematics - The University of Liverpool
BSc Mathematics
University of Liverpool
PhD Mathematical Biology
University of Liverpool
Antibiotic resistance in aquatic environments: Antibiotic resistance is one of the biggest threats the world is facing, and it affects all areas of life. We are using mathematical modelling techniques to study how resistance is spread through a bacterial population in an aquatic environment. Furthermore we use computational optimisations techniques to derive antibiotic usage strategies that will slow/prevent the build up of resistance, given various set-ups in terms of the objective function and constraints. Modelling the long-term impact of Gyrodactylus salaris on UK Atlantic salmon population: At present the UK is free of G. salaris. We are using mathematical modelling techniques to estimate the impact of a outbreak of this macro-parasite on UK Atlantic salmon population, and subsequently how the host (Salmon) will evolve a natural resistance if the parasite is left to persist in the long-term, as demonstrated by equivelnt populations in other countries. However this resistance is not free, we therefore look at how the creation of the immune response is trade-off against costs in other life-history traits. Evolution of host resistance, immunity and immune range: The immune response is one of the most powerful weapons hosts have evolved to fight parasitic infections, however there is still a lot we do not know. Here we use evolutionary techniques, including adaptive dynamics, to understand how the hosts immune system has developed. In particular, the host's immune range (whether immunity to one strain protects a host from similar strains), which will help understand why we have life-long immunity to some infections, but see continual outbreaks to various strains of another parasite over time.
Introduction to Mathematical Modelling for the environmental and biological sciences
PI: Dr Andrew Hoyle
Funded by: Natural Environment Research Council
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Introduction to mathematical modelling for the environmental and biological sciences
PI: Professor Rachel Norman
Funded by: Natural Environment Research Council
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Introduction to mathematical modelling for the environmental and biological sciences
PI: Professor Rachel Norman
Funded by: Natural Environment Research Council
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Evolutionary behaviour
PI: Dr Andrew Hoyle
Funded by: The Carnegie Trust
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Article
Goranova M, Ochoa G, Maier P & Hoyle A (2022) Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance. Artificial Intelligence in Medicine, 133, Art. No.: 102405. https://doi.org/10.1016/j.artmed.2022.102405
Article
When and why direct transmission models can be used for environmentally persistent pathogens
Benson L, Davidson RS, Green DM, Hoyle A, Hutchings MR & Marion G (2021) When and why direct transmission models can be used for environmentally persistent pathogens. PLOS Computational Biology, 17 (12), Art. No.: e1009652. https://doi.org/10.1371/journal.pcbi.1009652
Conference Paper (published)
Optimising Antibiotic Treatments with Multi-objective Population-based Algorithms
Goranova M, Contreras-Cruz MA, Hoyle A & Ochoa G (2020) Optimising Antibiotic Treatments with Multi-objective Population-based Algorithms. In: CEC 2020: Congress on Evolutionary Computation. 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, 19.07.2020-24.07.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/cec48606.2020.9185489
Article
Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times
Hoyle A, Cairns D, Paterson I, McMillan S, Ochoa G & Desbois AP (2020) Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times. PLoS Computational Biology, 16 (8), Art. No.: e1008037. https://doi.org/10.1371/journal.pcbi.1008037
Article
Multi-objective Evolutionary Design of Antibiotic Treatments
Ochoa G, Christie LA, Brownlee AE & Hoyle A (2020) Multi-objective Evolutionary Design of Antibiotic Treatments. Artificial Intelligence in Medicine, 102, Art. No.: 101759. https://doi.org/10.1016/j.artmed.2019.101759
Article
Kleczkowski A, Hoyle A & McMenemy P (2019) One model to rule them all? Modelling approaches across OneHealth for human, animal and plant epidemics. Philosophical Transactions B: Biological Sciences, 374 (1775), Art. No.: 20180255. https://doi.org/10.1098/rstb.2018.0255
Conference Paper (published)
Process Algebra with Layers: Multi-scale Integration Modelling applied to Cancer Therapy
Scott E, Nicol J, Coulter J, Hoyle A & Shankland C (2017) Process Algebra with Layers: Multi-scale Integration Modelling applied to Cancer Therapy. In: Bracciali A, Caravagna G, Gilbert D & Tagliaferri R (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2016. Lecture Notes in Computer Science, 10477. CIBB2016: 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Stirling, UK, 01.09.2016-03.09.2016. Cham, Switzerland: Springer, pp. 118-133. https://doi.org/10.1007/978-3-319-67834-4_10
Article
Denholm SJ, Hoyle A, Shinn A, Paladini G, Taylor NGH & Norman R (2016) Predicting the potential for natural recovery of Atlantic salmon (Salmo salar L.) populations following the introduction of Gyrodactylus salaris Malmberg, 1957 (Monogenea). PLoS ONE, 11 (12), Art. No.: e0169168. https://doi.org/10.1371/journal.pone.0169168
Article
Optimising Antibiotic Usage to Treat Bacterial Infections
Paterson IK, Hoyle A, Ochoa G, Baker-Austin C & Taylor NGH (2016) Optimising Antibiotic Usage to Treat Bacterial Infections. Scientific Reports, 6, Art. No.: 37853. https://doi.org/10.1038/srep37853
Conference Paper (published)
Scott E, Hoyle A & Shankland C (2016) Process Algebra with Layers: A Language for Multi-scale Integration Modelling, Illustrated by a Cell Cycle and DNA Damage Case Study. In: Bracciali A & Caravagna G (eds.) Proceedings of Computational Intelligence Methods for Bioinformatics and Biostatistics. 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Stirling, 01.09.2016-03.09.2016. Stirling: University of Stirling, pp. 240-246. http://www.cs.stir.ac.uk/events/cibb2016/index.html
Article
Maternal effects on offspring consumption can stabilize fluctuating predator–prey systems
Garbutt J, Little TJ & Hoyle A (2015) Maternal effects on offspring consumption can stabilize fluctuating predator–prey systems. Proceedings of the Royal Society B: Biological Sciences, 282 (1820), Art. No.: 20152173. https://doi.org/10.1098/rspb.2015.2173
Article
Reproductive Trade-Offs May Moderate the Impact of Gyrodactylus salaris in Warmer Climates
Denholm SJ, Norman R, Hoyle A, Shinn A & Taylor NGH (2013) Reproductive Trade-Offs May Moderate the Impact of Gyrodactylus salaris in Warmer Climates. PLoS ONE, 8 (10), Art. No.: e78909. https://doi.org/10.1371/journal.pone.0078909
Article
Best A & Hoyle A (2013) A limited host immune range facilitates the creation and maintenance of diversity in parasite virulence. Interface Focus, 3 (6), Art. No.: 20130024. https://doi.org/10.1098/rsfs.2013.0024
Conference Paper (published)
Scott E, Hoyle A & Shankland C (2013) PEPA'd Oysters: Converting Dynamic Energy Budget Models to Bio-PEPA, illustrated by a Pacific oyster case study. In: Bradley J, Heljanko K, Knottenbelt W & Thomas N (eds.) volume 296. PASM'12: Sixth International Workshop on Practical Applications of Stochastic Modelling, Imperial College London, UK, 17.09.2012-17.09.2012. Elsevier, pp. 211-228. https://doi.org/10.1016/j.entcs.2013.07.014
Article
The evolution of costly acquired immune memory
Best A & Hoyle A (2013) The evolution of costly acquired immune memory. Ecology and Evolution, 3 (7), pp. 2223-2232. https://doi.org/10.1002/ece3.611
Article
The impact of increased dispersal in response to disease control in patchy environments
Lintott R, Norman R & Hoyle A (2013) The impact of increased dispersal in response to disease control in patchy environments. Journal of Theoretical Biology, 323, pp. 57-68. https://doi.org/10.1016/j.jtbi.2013.01.027
Article
McPherson N, Norman R, Hoyle A, Bron J & Taylor NGH (2012) Stocking methods and parasite-induced reductions in capture: Modelling Argulus foliaceus in trout fisheries. Journal of Theoretical Biology, 312, pp. 22-33. https://doi.org/10.1016/j.jtbi.2012.07.017
Article
Evolution of host resistance towards pathogen exclusion: the role of predators
Hoyle A, Best A & Bowers R (2012) Evolution of host resistance towards pathogen exclusion: the role of predators. Evolutionary Ecology Research, 14 (2), pp. 125-146. http://www.evolutionary-ecology.com/abstracts/v14/2723.html
Article
Evolutionary behaviour, trade-offs and cyclic and chaotic population dynamics
Hoyle A, Bowers R & White A (2011) Evolutionary behaviour, trade-offs and cyclic and chaotic population dynamics. Bulletin of Mathematical Biology, 73 (5), pp. 1154-1169. https://doi.org/10.1007/s11538-010-9567-7
Article
Pathogen exclusion from eco-epidemiological systems
Greenman J & Hoyle A (2010) Pathogen exclusion from eco-epidemiological systems. American Naturalist, 176 (2), pp. 149-158. https://doi.org/10.1086/653669
Article
Sexually antagonistic co-evolution: a model and an empirical test
Hoyle A & Gilburn A (2010) Sexually antagonistic co-evolution: a model and an empirical test. Journal of Evolutionary Biology, 23 (1), pp. 166-174. https://doi.org/10.1111/j.1420-9101.2009.01886.x
Article
Can possible evolutionary outcomes be determined directly from the population dynamics?
Hoyle A & Bowers R (2008) Can possible evolutionary outcomes be determined directly from the population dynamics?. Theoretical Population Biology, 74 (4), pp. 311-323. https://doi.org/10.1016/j.tpb.2008.09.002
Article
Exclusion of generalist pathogens in multihost communities
Greenman J & Hoyle A (2008) Exclusion of generalist pathogens in multihost communities. American Naturalist, 172 (4), pp. 576-584. https://doi.org/10.1086/590967
Article
The influence of trade-off shape on evolutionary behaviour in classical ecological scenarios
Hoyle A, Bowers R, White A & Boots M (2008) The influence of trade-off shape on evolutionary behaviour in classical ecological scenarios. Journal of Theoretical Biology, 250 (3), pp. 498-511. https://doi.org/10.1016/j.jtbi.2007.10.009
Article
When is evolutionary branching in predator-prey systems possible with an explicit carrying capacity?
Hoyle A & Bowers R (2007) When is evolutionary branching in predator-prey systems possible with an explicit carrying capacity?. Mathematical Biosciences, 210 (1), pp. 1-16. https://doi.org/10.1016/j.mbs.2007.06.001
Article
The geometric theory of adaptive evolution: trade-off and invasion plots
Bowers R, Hoyle A, White A & Boots M (2005) The geometric theory of adaptive evolution: trade-off and invasion plots. Journal of Theoretical Biology, 233 (3), pp. 363-377. https://doi.org/10.1016/j.jtbi.2004.10.017
