Dr TJ McKinley
Lecturer in Mathematical Biology
Telephone: 01326 259331
I obtained a BSc (Hons.) in Mathematics (2003) and a PhD in Statistics (2007) at the University of Exeter. In October 2006 I joined the Cambridge Infectious Diseases Consortium at the University of Cambridge as a Research Associate in Statistics, and in January 2014 became a Senior Research Associate in the Disease Dynamics Unit at the Department of Veterinary Medicine. As of November 2014 I became a Lecturer in Mathematical Biology at the University of Exeter.
I am interested in applying and developing statistical methodology for the study of infectious diseases. My PhD thesis, under the supervision of Prof. Trevor Bailey, explored the feasibility of using spatial survival analysis as a means of predicting the path of infection in large-scale infectious animal disease epidemics. More recently I have been investigating the use of Approximate Bayesian Computation (ABC), pseudo-marginal and nested sampling techniques as alternative means of estimating parameters in epidemic models where the calculation of the likelihood is often far from trivial. My most recent work has involved developing reversible-jump MCMC techniques for fitting large-scale models for the spread of bovine tuberculosis across the UK cattle movement network.
I also work alongside collaborators to provide statistical advice and input for various projects in different disease systems, including: risk factors associated with persistent bovine tuberculosis (bTB) infections in cattle herds in the UK; in vitro and in vivo dynamics of bacterial infections, such as Salmonella; and risk factors for pleurisy in pigs farms in the UK and chyridiomycosis infections in amphibians.
Recently we have developed a screening algorithm for identifying single-site mutations of interest in sequence data, and are currently developing the method for use with next-generation sequencing.