| My main research interests are in the application of computationally intensive statistical techniques to complex biological problems, particularly using techniques such as Bayesian Markov chain Monte Carlo (MCMC). I am also interested in ways of using statistical methods, decision support tools and economic modelling to inform decisions on farms and help improve productivity and welfare of production animals. |
| I am interested in the role of the immune system in the pathogenesis of
infectious diseases of livestock, especially prion diseases such as
scrapie and bovine spongiform encephalopathy (BSE). |
| Bovine immunogenetics in relation to immunity to disease, metabolic function and production characteristics. Evolution of drug resistance among parasites and management strategies to delay loss of efficacy of products in the field. |
| Understanding the circumstances that conspire to bring people into contact with animals and/or their products in ways that alter their risk of zoonotic disease. |
| I am a veterinary epidemiologist with a particular interest in the prevention of equine fatal and non-fatal injuries. My major area of work is with racing Thoroughbreds, having worked on projects in Hong Kong, Australia and the UK. I am also interested in the use of genetics, imaging and pathology to identify "at risk" horses at the earliest possible stage of the disease/injury process. |
|
Minnie Parmiter |
My research interests lie in the use of mathematical models for analysis and prediction and control of disease dynamics. I have a particular interest in malaria, as well as vector-borne, zoonotic and emerging infections in a multidisciplinary context. Additionally, I am intrigued by network and systems biology and how disease occurrence is influenced by macro-drivers such as climatic or environmental change, drug-resistance, resource availability and particularly socio-economic status. |
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Claire Walls |
My current research focuses on the discovery of the genetic inheritance patterns of fracture (and other common musculoskeletal diseases) in the Thoroughbred racehorse though a variety of statistical modelling techniques, employing medical histories, pedigree data and SNP data from international populations. Through this work I aim to produce scientifically-grounded advice on breeding and/or equine management for the racing community which could help reduce the incidence of catastrophic fracture. |