Byrne Group Research Overview
Biological systems are complex and inherently multiscale: processes at the subcellular, cellular and tissue scales are coupled via multiple interactions whose dysregulation contributes to the emergence of diseases such as cancer. Our lab is developing mathematical and computational models, which propose causal relationships between specific physical processes, in order to increase our understanding of the mechanisms that drive disease initiation, progression and treatment. Our lab is also developing statistical and mathematical methods to analyse complex, high dimensional biomedical datasets, with particular emphasis on characterising and quantifying spatial patterns in immunohistochemistry and multiplex immunofluorescence images.
Through the development of the above mathematical and computational tools, we aim to understand:
- How interactions between tumour cells, immune cells and their microenvironment impact tumour growth and invasion;
- How structural features of tumour vasculature impact blood flow, haematocrit distribution, and tissue oxygenation;
- how cell genotype and phenotype are related in colorectal cancer stem cells and their progeny.
In the future, we aim to extend our mechanistic models and data analysis methods, and to develop innovative ways to combine them with complex, multiscale biomedical datasets in order to learn more about disease initiation and progression. In the longer term, our goal is to provide an objective and rational basis to support decision-making in healthcare, particularly the increasing use of personalised medicine.