Mathematical modelling of somatic genome evolution Dr Michael Nicholson Chancellor’s Fellow Contact details Email: Michael.nicholson@ed.ac.uk Research in a NutshellWe study how the DNA in our cells changes throughout life, and the implications of these changes for cancer and ageing. The molecular and evolutionary processes that occur in our cells combine to generate complex mutation patterns in a tumour’s DNA. To decipher these patterns, we build mathematical models that bridge between biological mechanisms and their presentation in genomic data. We use computer simulations, mathematical analyses, statistics, and bioinformatics approaches. Current research is centred around: Measuring cancer evolution. Cancer mutation patterns result from the molecular processes that lead to mutations, the cancer-promoting effect of certain mutations, and the temporal dynamics of clonal evolution. We quantify various aspects of these processes, e.g. how quickly alterations arise or how cancer-promoting different mutations are. Consequences of DNA damage. DNA chemical modifications interact with the molecular machines that perform replication and transcription. We’re using cancer and ageing data to better understand the outcome of these interactions, and their consequences on disease. People NameRole Michael NicholsonGroup LeaderXell Brunet-GuaschPhD Student (with Tibor Antal)James HayesPhD Student (with Martin Taylor)Jessica CodlingPhD Student (with Martin Taylor and Ramon Grima)Caterina LuePhD student (with Tibor Antal) Key Publications Michael Nicholson Research Explorer Profile Collaborations Professor Martin Taylor, IGC, The University of EdinburghDr Tibor Antal, School of Mathematics, The University of EdinburghProfessor Ian Tomlinson, Department of Oncology, The University of OxfordProfessor Ramon Grima, School of Biology, The University of EdinburghProfessor Kamila Naxerova, Harvard Medical School, Harvard UniversityProfessor Franziska Michor, Dana-Farber Cancer Institute and Harvard University Scientific Themes Cancer evolution, genome instability, mathematical modelling, genomics, mutational processes, ageing This article was published on 2025-06-27