Léonie Borne

Léonie Borne, PhD, is a data scientist at Pulse Audition, with a strong background in medical image analysis and machine learning. Previous experience includes serving as an R&D project manager at Inria Startup Studio, where Léonie led the NeuroPin project focused on medical image segmentation. As a post-doctoral scientist at the University of Newcastle, Léonie developed unsupervised machine learning approaches for dementia clinical trial participant identification using large multimodal databases. Additional roles include teaching computer science as a teaching assistant at IUT d'Orsay and conducting significant research at CEA in brain image segmentation and pattern recognition. Léonie holds a PhD in medical image analysis from Université Paris-Saclay, complemented by a research master in computer sciences from Université Paris Dauphine - PSL and an engineering diploma from AgroParisTech.