Julia Geronimi is a seasoned statistician specializing in biostatistics, with extensive experience in translational statistics and clinical data analysis. As a Doctoral Researcher at CNAM Ile-de-France from November 2013 to December 2016, Julia developed statistical methods for longitudinal clinical data and implemented the Multiple Imputation Penalized Generalized Estimating Equations (MIPGEE) method. In July 2019, Julia joined Servier as a Principal Translational Statistics Scientist in Immuno-Oncology, directing data analysis for Phase III trials and mentoring junior statisticians. A subsequent position as Principal Translational Statistics Scientist for Glioma, starting July 2024, involves leading data analysis across studies and fostering collaborations to enhance therapeutic insights. Julia holds a Doctorat in Biostatistics from Conservatoire National des Arts et Métiers, completed in 2016.
This person is not in the org chart
This person is not in any teams
This person is not in any offices