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- Reader in Statistical Genetics
- UCL Genetics Institute
- Genetics, Evolution & Environment
- Faculty of Life Sciences
Vincent was educated in Paris, France, where he obtained his bachelor of mathematics at the Ecole Normale Superieure. He then started working in the field of applied mathematics and statistics. Following a MSc in Theoretical Probability he started his PhD in Applied Mathematics and Computational Biology at the University of Southern California, Los Angeles, under the supervision of Simon Tavare. Following this PhD he moved to the Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory at the University of Cambridge in 2006 to study the genetics of autoimmune disorders, in particular type 1 diabetes. He then joined the UCL Genetics Institute (UGI) in October 2009. At the UGI he leads a computational research group working at the intersection between statistics, computer science and genetics.
Vincent is interested in genetics in a broad sense, and his work overlaps a range of disease fields, including autoimmune, neurodegenerative and cardiovascular disorders. A key research interest consists of using genetics data as a tool to investigate the molecular mechanisms underlying genetic association data. To achieve this goal typical tools include gene expression studies, high throughput sequencing of analysis but also analysis of protein data, for example by flow cytometry.