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
PhD Mathematical Biology –
Type of education
BSc Mathematics –
Type of education
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.