Laurent Younes is a Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University (JHU), affiliated with the Whiting School of Engineering. He leads research in computational anatomy, medical imaging, and statistical modeling, and is a member of the JHU Center for Imaging Science and the Data Science and AI Institute. His work focuses on shape analysis, deformation modeling, and applications in neurodegenerative diseases like Alzheimer’s and Huntington’s. Education: B.S. from École Normale Supérieure (1984), M.S. and Ph.D. from University of Paris XI (1985–1988). Research Interests : Developing mathematical frameworks for analyzing shapes and images, including diffeomorphisms, Markov Random Fields, and computational tools for biomedical applications. Key areas include brain atrophy analysis, longitudinal biomarker studies, and integrating molecular data with anatomical imaging. Awards : 2023 SIAM Fellow 2019 Johns Hopkins Discovery Award 2015 Fellow of the Institute for Mathematical Statistics Advising & Collaborations : Collaborates with JHU School of Medicine on transdiagnostic approaches for psychosis. Active in organizing workshops and conferences, including IMA and SIAM events. Editor for Annals of Applied Statistics . Technical Contributions : Authored Shapes and Diffeomorphisms (Springer, 2010), and pioneered 3D scene understanding tools for cardiology. Current work emphasizes cross-modal data integration and early disease biomarker detection.










