Dr Theo Pepler
- Research Associate (Institute of Biodiversity Animal Health & Comparative Medicine)
I work as an applied statistician, and am a member of the Scottish Government's Centre of Expertise on Animal Disease Outbreaks (EPIC).
My personal webpage has information on a number of my R software packages, as well as links to various statistical and computing resources.
Most of my scientific research work is applied in nature, using statistical and simulation methods to investigate biological questions.
Within the EPIC research programme, I study how animal movements contribute to infectious disease spread. By combining epidemiological simulation models with observed animal movement data, we can identify the agricultural premises potentially playing key roles in future epidemic outbreaks. Knowledge of these key premises is helpful in planning surveillance and control strategies for infectious animal disease in Scotland.
I also work on a number of projects about the diagnosis of clinical and subclinical mastitis in dairy cows. We are evaluating different diagnostic measures, including on-farm bacterial culture, and machine learning models based on biomarker data. More accurate diagnosis of subclinical mastitis helps to identify animals that will benefit from treatment; treating only this subset of animals reduces antimicrobial usage without compromising animal welfare.
On the methodological side, I am most interested in multivariate statistical analysis (spectral decomposition, in particular) and nonparametric techniques.
Grants and Awards listed are those received whilst working with the University of Glasgow.
- Rapid, accurate, on-farm diagnosis and monitoring of mastitis in dairy cows
2018 - 2020
I teach the Statistics component of the Research Skills 2 course in the Veterinary Biosciences degree programme. It is an introduction to Statistics, using the R language for some practical work.