LaPsyDÉ

After completing his Master's degree in Econometrics and Statistics at Université Paris-Panthéon-Assas, Paul oriented his path toward research, driven by the conviction that predictive mechanisms and learning models could have significant clinical implications. He joined LaPsyDÉ to pursue a PhD under the supervision of Dr. Iris Menu, funded by the CNRS MITI fellowship, which supports interdisciplinary scientific projects.

His doctoral project aims to investigate the multi-level developmental trajectories of children born preterm through an approach that integrates neuroscience, developmental psychology, and data science. Using data from the longitudinal Adolescent Brain Cognitive Development (ABCD®) study, this research seeks to identify risk and protective factors to inform the clinical development of personalized early interventions.