Hubert Leterme
POSTDOC
| E-mail: | hubert.leterme [at] cea [dot] fr |
| Office: | 278 |
| Affiliation: | IRFU/DAp-AIM |
| Website: | https://hubert-leterme.github.io/ |
| Supervisors: | Jean-Luc Starck |
Research Interests
My research focuses on the 2D and 3D reconstruction of mass maps from shear measurements, combining inverse problem methods with deep learning tools such as plug-and-play approaches. The objective is to improve cosmological parameter estimation by providing tighter constraints on the posterior distribution. I am also a member of the Euclid Consortium, where I will contribute to integrating these methods into the Science Ground Segment.
Prior to joining the CosmoStat group as a postdoctoral researcher in October 2025, I completed a two-year postdoctoral position at the GREYC research center at ENSICAEN (Caen, France), under the supervision of Jalal Fadili. As part of the TOSCA project, I began working on mass mapping algorithms, with a particular emphasis on distribution-free uncertainty quantification.
I obtained my PhD in June 2023 from the University of Grenoble Alpes (Grenoble, France), under the supervision of Valérie Perrier, Karteek Alahari, and Kévin Polisano. My research was at the intersection of computer vision and image processing, with an emphasis on convolutional neural networks, wavelets, and stochastic signal processing.
For more information, please visit my website.