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:

Imane El-Hamzaoui – Component separation

Christophe Kervazo – Machine Learning

Jiaxin Xu – Matrix factorization and applications

 

Post-Docs:

Joana Frontera-Pons / Learning and applications

Melis Irfan – Astrophysics / Analysis of the Planck data

Arnau Pujol – Astrophysics / Machine learning in Euclid

 

Former members:

Cécile Chenot – Signal processing – Now at Edinburgh

Matthieu Bovery – Machine learning

Tobias Liaudat – Matrix factorization

 

Collaborators:

Julien Fade

Fabio Acero

Adrien Picquenot

Ming Jiang

Anne de Vismes

Christophe Bobin

M-A Mivilles-Deschenes

Isabelle Grenier