Christopher is one of the investigators for the APPreSci consortium.
He is a Reader in Computational Biology at the Centre for Computational Biology at University of Birmingham, and obtained degrees in Engineering and Statistics from the Universities of Cambridge and Oxford respectively.
His group develops Statistical Machine Learning techniques for tackling biomedical data science problems with a particular focus on modelling 'omics data. He is a Royal Statistical Society Fellow and sits on the Statistical Computing Section Committee. He currently co-leads the Machine Learning Clinical Interpretation Partnership for the Genomics England 100,000 Genomes Project.
You can read more about him here.