Florent Guinot

Florent Guinot is a Senior Data Scientist at Roche, focusing on the predictive power of gene signatures in bladder cancer patients through advanced statistical methodologies. Previous experience includes positions at L'Oréal as a Statistician, where Florent developed predictive models using machine learning techniques, and consultancy roles analyzing omic data. Additional experience involves internships at various organizations, including Nong Lam University, French National Institute of Agricultural Research, and Syngenta France SAS, where Florent contributed to biotechnological research and statistical analysis in agricultural genomics. Educational qualifications include an agronomy engineering degree from AgroParisTech and a PhD in Applied Mathematics from Université Paris-Saclay.