cv

Permanent CNRS Researcher (CRCN)

CosmoStat Laboratory, UMR AIM/CEA Paris-Saclay/CNRS/Université Paris-Saclay/Université Paris Cité, Gif-sur-Yvette, France

BCCP Computational Data Science Fellow & FODA Fellow

University of California, Berkeley, CA, USA

• Advisor: Prof. Uroš Seljak

Postdoctoral reasearcher

McWilliams Center for Cosmology, Department of Physics, Carnegie Mellon University, Pittsburgh, PA, USA

• Advisor: Prof. Rachel Mandelbaum

Ph.D. in Astrophysics: Sparse Reconstruction of Dark Matter Mass Maps from Weak Gravitational Lensing

Université Paris-Saclay, CEA Paris-Saclay, Gif-sur-Yvette, France

• Advisor: Jean-Luc Starck

Master 2 Research - Fundamental Physics

Université Paris 11, Orsay, France

• Specialization Nuclei Particles Astrophysics Cosmology (NPAC)

Master 2 Research - Fundamental and Applied Mathematics

Université Paul Verlaine, Metz, France

• Joint diploma with Supélec degree

Supélec Engineer Diploma

Supélec, Campus Gif-sur-Yvette, and Metz (3rd year), France

• Electrical Engineering degree from one of France's top Grandes Ecoles

Co-chair of the LSST Informatics and Statistics Science Collaboration

Co-lead of the Bayesian Pipelines Topical Team of the LSST Dark Energy Science Collaboration

Hack/Sprint co-coordinator for the LSST Dark Energy Science Collaboration

• Organization of DESC hack days and hack weeks.

Chair of the LSST Dark Energy Science Collaboration Council

• Chaired over the ratification of the LSST DESC Speakers Bureau, the LSST DESC Software Policy, and significant amendments to the LSST DESC Publication and Membership Policies.

Co-convener of the Weak Lensing Working Group of the LSST Dark Energy Science Collaboration

• Machine Learning for Astrophysics Workshop at ICML 2022 (Co-Chair)
• LSST DESC Hack/Sprint Week in University of Michigan, Ann Arbor (Co-Coordinator)
• Paris Workshop on Bayesian Deep Learning for Cosmology and Time Domain Astrophysics (Scientific Organizing Committee)

• MLClub debate series on Machine Learning and Astrophysics (co-organizer)

• Likelihood-Free Inference Workshop, Flatiron Institute, NYC (co-organizer)
• Machine Learning and Science Forum, Berkeley (co-organizer)