Research interests

Researchers working at the Wolfson Centre for Mathematical Biology are interested in the development and utilisation of mathematical and computational techniques for the exploration of biological systems. Collectively, our aim is to further our understanding of the mechanisms underlying biological processes by building biologically realistic mathematical / computational models, testing and refining them using currently available experimental data, and making experimentally verifiable predictions. Most of our projects involve collaboration with both theoretical and experimental researchers working in Oxford, the UK and further afield. 
The case studies linked below show some examples of the research taking place in the group.

• Mathematical modelling of autoimmune myocarditis
• Tissue oxygenation and the growth of cancerous tumours
• Optimal transport, trajectory inference, and lineage tracing
• Using maths for infectious disease epidemic forecasting
• The Tumour Collective – How co-operation may drive malignant tumours
• The pros and cons of cell cannibalism - mathematics and medicine join forces to understand the causes of inflammatory and infectious diseases
• Finding flagella: automating image analysis
• Mechanistic models versus machine learning: a fight worth fighting for the biological community?
• Following up Turing - how reaction-diffusion models generate complex patterns
• Heterogeneity in cell populations - a cautionary tale
• Hair today, gone tomorrow. But have scientists found a new way to stimulate hair growth?
• The mathematics of sperm control
• Using mathematical modelling to improve our understanding of radiotherapy
• Mathematical Modelling of infectious disease outbreaks and interventions (assorted case studies)