Summary
Félix Balazard is a Statistical Project Leader with a decade of experience applying advanced statistical methods and machine learning to clinical development, now leading projects at Sanofi after several impactful years at Owkin. He spearheaded clinical trial optimization efforts—pioneering covariate adjustment approaches that contributed to an EMA Letter of Support—and designed federated external control arm solutions that preserved partner data governance while accelerating early efficacy estimates. Félix combines deep academic training (PhD in statistics applied to epidemiology; ENS background) with hands-on program leadership, bridging biostatistics, real-world evidence, and industry collaborations. His work catalyzed strategic partnerships including the Owkin–BMS alliance and a publicly funded consortium with Sorbonne University and AP-HP, reflecting a knack for translating methodological innovation into multi-stakeholder initiatives.
10 years of coding experience
5 years of employment as a software developer
Phd, Statistics applied to epidemiology, Phd, Statistics applied to epidemiology at Sorbonne Université
Master's degree, Mathematical Statistics and Probability, Master's degree, Mathematical Statistics and Probability at Ecole normale supérieure
Master's degree, Mathematical Statistics and Probability, Master's degree, Mathematical Statistics and Probability at Université Pierre et Marie Curie (Paris VI)
English, French, Spanish, Japanese