Rachel Lintott
MSc Applied Mathematical Sciences with Biological and Ecological Modelling
Heriot Watt University 2009-2010MA(Hons) Philosophy and Mathematics
University of Edinburgh 2004-2008Personal
After completing my degree at the University of Edinburgh in 2008 before spending 3 months in Blenheim, New Zealand working on a conservation project for the New Zealand Falcon. I came back to Scotland to begin my MSc, completing my thesis on 'The inclusion of age structure in an SIR model'. Keen to continue my academic career I joined the Institute of Computing Science and Mathematics at Stirling in October 2010 to begin my PhD under the supervision of Andy Hoyle and Rachel Norman.
Research Project
Optimal Control of Disease in Multihost Systems
My project is looking at control of microparasites which are able to transmit between hosts. This work is building on previous work by Greenman and Hoyle (2008,2010). During my first year I am looking at extending a two-host apparent competition model to include a spatial dimension. This is done by assuming a metapopulation type structure of distinct patches of hosts. This model will then be used in optimising the distribution of control strategies such as culling or vaccination. This work has applications to many infectious diseases including the transmission of Bovine Tuberculosis between cattle and badgers.
Conferences and Presentations
July 2011: 8th European Conference on Mathematical & Theoretical Biology, Krakow.
May 2011: Introduction to control of disease in multihost systems. Stirling Graduate Research School Conference, University of Stirling.
March 2011: Introduction to Mathematical Biology. Institute of Biological and Environmental Sciences, University of Stirling
February 2011: Institute of Computing Science and Mathematics PhD Presentation, University of Stirling
Other Activities
SMSTC (Scottish Mathematical Sciences Training Centre)
During my first year I have undertaken the Applied Mathematics Methods stream of the SMSTC. The SMSTC aims to provide high-quality training in fundamental areas of mathematics for students beginning their PhD in any aspect of mathematical sciences. The Applied Mathematics Methods stream covers topics such as asymptotic methods for differential equations, numerical methods for ordinary, partial and stochastic differential equations, contour integral methods and practical optimisation.
Teaching
Spring 2011: Data Skills (PDM9L4/5)
