Julie Digne is a CNRS researcher specialized in geometry processing and shape analysis, in particular when the surfaces are represented as point clouds. This includes surface denoising, mesh reconstruction and machine learning approaches for geometric data. She started working on those topics during her PhD (2007-2010) with Jean-Michel Morel at ENS Cachan, for which she received a PhD award from the Fondation Hadamard. She pursued on these topics at INRIA Sophia Antipolis (Geometrica team) with Pierre Alliez and colleagues from Caltech. In October 2012, she joined the LIRIS lab at Université Lyon 1. She defended her Habilitation à Diriger des Recherches in September 2018 at Université Lyon 1.