The LENA team will bring together researchers in fields as diverse as signal and image processing, machine learning and astrophysics. It is composed of the following members:

 

Permanent researchers:

Jérôme Bobin – PI

Florent Sureau – Signal processing / optimization algorithms / Application to Planck

 

PhD students:

Remi Carloni – Component separation and radio-astronomy

Imane El-Hamzaoui – Component separation

Jiaxin Xu – Matrix factorization and applications

 

Post-Docs:

Melis Irfan – Astrophysics / Analysis of the Planck data

Isabella Carucci – Astrophysics / Radio-interferometry-EoR

 

Former members:

Cécile Chenot – Signal processing – Now at Edinburgh

Matthieu Bovery – Machine learning

Joana Frontera-Pons / Learning and applications

Tobias Liaudat – Matrix factorization – now at CEA

Arnau Pujol – Astrophysics / Machine learning in Euclid – now at Univ. Barcelona

Yarui Zhang – Machine learning – now at Supelec

Christophe Kervazo – Machine Learning – now at Univ. Mons

 

Collaborators:

Julien Fade

Fabio Acero

Adrien Picquenot

Ming Jiang

Anne de Vismes Ott

Christophe Bobin

M-A Mivilles-Deschenes

Isabelle Grenier