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Professor Trevor Graham
Professor of Cancer Evolution

My lab measures the patterns of clonal evolution that define carcinogenesis and develops novel mathematical tools for analysis and prediction. By characterising tumour evolution, we aim to find better ways to determine prognosis and more effective ways to treat cancers.

Dr Stuart McDonald
Senior Lecturer

Our main research areas are focused on understanding the evolution of Barrett’s oesophagus to cancer, field cancerisation of the human stomach, and clonal expansion in ductal carcinoma in situ of the human breast.

Professor Sir Nicholas Wright
Emeritus Professor of Histopathology

My research interests include clonal evolution in colorectal adenomas and inflammation-associated cancer, the nature of Barrett’s glands, and the design of methods to explore neutral drift in stem cell divisions in normal human tissues.

Dr Ann-Marie Baker

I am interested in understanding tumour evolution and stem cell biology within the human colon.

Dr William Charles Hemming Cross

I am currently working on several projects related to colorectal cancer and its premalignant stages, including sporadic adenomas and inflammatory bowel disease.

Dr Kit Curtius
UKRI/Rutherford Research Fellow

The aims of my current research are to use mathematical mechanistic modelling to inform optimal cancer screening recommendations, to perform patient risk stratification, and to ultimately better prognostication.

Dr Florian Laforets

My research in Prof Balkwill’s group focuses on imaging tumour-associated macrophages and other immune cells in live ex vivo tumour slices, in order to assess their behaviour and the impact of immunotherapies on the live tumour microenvironment.

Dr Eszter Lakatos

I apply bioinformatic techniques and mathematical modelling to understand the evolutionary processes in colorectal cancer. My research focuses on the trade-offs a growing tumour population has to face for efficient growth and survival.

Dr Marc Williams

I apply mathematical and computational approaches to understanding cancer evolution. A lot of my work is inspired by population genetics and evolutionary biology and I have been developing ways to adapt methods and theories from these fields to the study of cancer as an evolutionary system.