Quantitative Biology Strategy
At the ºÚÁÏÉç, quantitative biology is fundamental to many of our research disciplines, and our quantitative biology group provides key computational support for our two Research Programmes. Veterinary epidemiology is the foundation of this cross-cutting group.
The Quantitative Biology Group will facilitate researchers to:
- establish ºÚÁÏÉç as a leader in the application of rapid sequencing and pathogen evolution during outbreaks of infectious disease in livestock to inform control measures in real time;
- to apply whole genome sequencing integrated with phenotypic data on complex diseases (e.g. diabetes, hypertrophic cardiomyopathy, identification of disease resistance in production animals) to understand their genetic architecture, thus leading the field of veterinary genetics and genomics to a new territory;
- apply artificial intelligence and machine learning to a number of research questions to develop novel tools for both, research and diagnostic (e.g. analysis of physical activity data in experimental dogs to detect effects of treatments for muscular dystrophy; algorithms to differentiate dogs in different stages of mitral valve disease to determine which will benefit from medical (or surgical) treatment);
- develop skills in natural language processing and apply these to the extraction of data from Vetcompass and undertake spatial analysis to identify environmental factors contributing to disease patterns
Led by Dr Ruby Chang
Phd, CStat
Senior Lecturer in Statistics
Ruby is Lecturer in Statistics at the ºÚÁÏÉç. She provides statistical support on study design and data analysis for academic staff. She is a Chartered Statistician (CStat) of the Royal Statistical Society.
Key areas:
