Dr Theo Pepler
- Research Scientist (Infectious Disease Ecology)
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.
- EPIC Centre of Expertise in Animal Disease Outbreaks 2022- 2025
2022 - 2025
- Rapid, accurate, on-farm diagnosis and monitoring of mastitis in dairy cows
2018 - 2020
- Cook, John
Management factors associated with transition success in dairy cows