Our teams: METHODS
I am a member of the METHODS team at the Center for Research in Epidemiology and Statistics (CRESS-UMR1153) and hold a Chaire de Professeur Junior from the French National Institute of Health and Medical Research (Inserm). My research is dedicated to advancing the field of personalized medicine through the development of innovative mathematical and statistical methods. My primary focus is on the application of advanced techniques in statistical learning and topological data analysis to address complex challenges in personalized medicine and public health.
email: francois.petit [ a t ] inserm.fr
Research interests
- Machine learning and statistical methods for Personalized medicine
- Topological Data Analysis
- Causal inference
Key publications
- François Grolleau, François Petit, Raphaël Porcher. A Comprehensive Framework for the Evaluation of Individual Treatment Rules From Observational Data. 2022.
View publication - Nicolas Berkouk. François Petit. “Ephemeral persistence modules and distance comparison.” Algebr. Geom. Topol. 21 (1) 247 – 277, 2021.
View publication - Nicolas Berkouk. François Petit. Projected distances for multi-parameter persistence modules. 2022.
View publication
