Charlotte Woolley (BSc (hons), MSc, AFHEA)

Post-doctoral Researcher in Quantitative Epidemiology

Background

I am a veterinary epidemiologist and data scientist with a BSc in Equine Science, an MSc in Animal Biosciences and a PhD in Veterinary Epidemiology and Data Science. I am currently a post-doctoral researcher at The Royal (Dick) School of Veterinary Studies and the Roslin Institute of the University of Edinburgh. I am also an Associated Fellow of the Higher Education Academy (AFHEA) and I am the course organiser for the Research Methods and Data Analysis course on the online MSc Equine Science. I work remotely and I am physically based in Macclesfield, Cheshire. 

Qualifications

BSc in Equine Science, Harper Adams University (First class hons)

MSc in Animal Biosciences, University of Edinburgh (Distinction)

PhD in Veterinary Epidemiology and Data Science, University of Edinburgh

Responsibilities & affiliations

Associated Fellow of the Higher Education Academy (AFHEA)

Fellow of the Royal Statisitical Society (RSS)

Postgraduate teaching

  • Course organiser for the Research Methods and Data Analysis course within the online MSc Equine Science

Research summary

My research interests include veterinary and human epidemiology, data science, microbiome and genetic research. My research has involved data from the Dogslife project  (https://www.dogslife.ac.uk/), which is a cohort study of Labrador Retrievers based in the UK and Google Trends (https://trends.google.com/trends/). These studies involved using data science techniques to develop methodologies for data cleaning and processing, canine health surveillance, risk analyses and the characterisation of the canine microbiome using 16S rRNA data. 

Current research interests

I am currently funded by the Dogs Trust to investigate lifestyle risks for healthy aging in a dog population. Leveraging Dogslife’s data acquisition over the last decade, I will use statistical modelling to explore the impact of lifestyle factors (such as activity, diet and preventative healthcare) on common age-related diseases in the cohort (cancer, arthritis and overweightness / obesity). I will also investigate why some dogs die earlier in their life than would be expected. The results will robustly evaluate role of lifestyle in the development of aging-related disease in dogs, which will inform dog owners of the impact that their choices make on their pets’ health.

Affiliated research centres