Etienne has been selected for the INTREPID Forensics programme and will be carrying out research on innovative methods of pattern recognition of fingerprint ridge lines and characteristics. He pursued a MSc in Statistical Physics and one in PDE and Numerical Analysis at Pierre and Marie Curie University, and a third one in Financial Mathematics at Paris Dauphine University. Prior to moving to Leicester, he worked as an intern in High Performance Computing on the GPU porting of a rarefied flow simulation software, and in Quantitative Finance on the use of innovative statistics in order to better model CVA (Credit Valuation Adjustment).
Research interests: parallel and GPU computing, game theory, differential and stochastic geometry, financial Mathematics (e.g. design of realistic stochastic dynamics, utility maximization under risk constraints), machine learning and pattern recognition.