Research

My research is interdisciplinary and spans epidemiology, microbiology and applied mathematics. There are two central themes: mathematical and genomic epidemiology, and modelling bacterial metabolism. My interest in the evolution and spread of antibiotic resistance is one link between the two.

I am supervising four PhD students at the moment. We have ongoing projects in developing and applying computational methods to engineer bacterial metabolism. We are working with colleagues in bringing these tools to application in several bioproduction problems, including both vaccine and biofuel production.

In my group we are particularly interested in epidemics of multiple types: resistant and sensitive strains of a pathogen, different pathogens interacting in a complex way (for example HIV and TB) and ultimately in connecting epidemic dynamics with next-generation pathogen sequence data. For the first time it is possible to sequence many pathogen samples from epidemic settings, so that it is essential to develop the quantitative tools to analyse these data.

More professional details can be found in my CV and here is a list of my publications.

Teaching

I am currently teaching a range of units in the Engineering Maths Department. Our Department offers a diverse and engaging undergraduate degree programme offering both the mathematical background needed to pursue a career in applied mathematics and a range of experience in applying those tools to real-world problems. For further information, please see our Undergraduate Admissions page.

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This page was last updated in September 2010.