Talk abstract: Computational approaches to overcome tumour heterogeneity and to infer context-specific information flow for cancer precision medicine
Bio: Dr. Ian Overton joined QUB in August 2017, where he leads the Data Intensive Biomedicine group and heads the Medical Bioinformatics Research Cluster at the Centre for Cancer Research and Cell Biology. His group employ network biology, machine learning and bioinformatics approaches to study phenotypic plasticity in development, metastasis and drug response – towards new clinical tools. He graduated in biochemistry (Oxford) when the first draft human genome was published, and was inspired towards computational biology by the potential for a step change in medicine.