Research interests of the Mathematical Biology Group include modelling the spread of infectious diseases in populations, statistical and machine learning models to assess relationships between biological variables, statistical genetics, and other topics.
The Group hosts a joint seminar series with the School of Life, Health and Chemical Sciences on Mathematical and Theoretical Biology. More details to follow.
This reseach involves mathematically modelling infectious disease spread in populations and modelling the vectors responsible for spreading certain diseases. We focus on deterministic, population-level models and use these to investigate control measures for reducing disease spread.
We use traditional statistical and machine learning models to assess relationships between biological variables including genetics, epigenetics, metabolites and the microbiome and health and disease. From these relationships we can better predict and understand the mechanisms of health and disease.