Section: Partnerships and Cooperations

National Initiatives

Programme of Investments for the Future (PIA)

Bilille is a member of two PIA “Infrastructures en biologie-santé”:

• France Génomique (https://www.france-genomique.org/spip/?lang=en)

• IFB, French Institute of Bioinformatics (https://www.france-bioinformatique.fr/en)

As the leader of the platform, Guillemette Marot is thus involved in these networks.

RHU PreciNASH

Participant : Guillemette Marot.

• RHU PreciNASH

• Acronym: PreciNASH

• Project title: Non-alcoholic steato-hepatitis (NASH) from disease stratification to novel therapeutic approaches

• Coordinator: F. Pattou

• Duration: 5 years

• Partners: FHU Integra and Sanofi

• Abstract: PreciNASH, project coordinated by Pr. F. Pattou (UMR 859, EGID), aims at better understanding non alcoholic stratohepatitis (NASH) and improving its diagnosis and care. In this RHU, Guillemette Marot supervises a 2 years post-doc, as her team EA 2694 is a member of the FHU Integra. EA 2694 is involved in the WP1 for the development of a clinical-biological model for the prediction of NASH. Other partners of the FHU are UMR 859, UMR 1011 and UMR 8199, these last three teams being part of the labex EGID (European Genomic Institute for Diabetes). Sanofi is the main industrial partner of the RHU PreciNASH. The whole project will last 5 years (2016-2021).

INS2I-CNRS project PEPS JCJC 2018 “PaRaFF”

Participant : Pascal Germain.

• Projet PaRaFF: PAC-Bayesian Random Fourier Features

• Coordinator: Emilie Morvant, Hubert Curien Lab, University Jean Monnet, Saint-Etienne

• Year: 2018

• Abstract: In data science, any method is based on a representation of the data. In this project, we study the learning of representation in the context of automatic learning methods called kernel methods. Our analysis is based on the Random Fourier Features, a method of approximating a kernel function based on a combination random attributes (combination defined by a probability distribution on the attributes). We aim to provide a theoretical understanding of this approach via PAC-Bayesian theory, and to propose a representation learning procedure by exploiting the specificities of this theory.

ANR

ANR APRIORI

Participants : Benjamin Guedj, Pascal Germain.

• APRIORI 2019–2023, ANR PRC

• PAC-Bayesian theory and algorithms for deep learning and representation learning.

• Main coordinator of the project: Emilie Morvant, Université Jean Monnet.

• Funding: 300k EUR.

• 2 partners - MODAL (Inria LNE), Hubert Curien Lab. (UMR CNRS 5516).

ANR BEAGLE

Participants : Benjamin Guedj, Pascal Germain.

• BEAGLE 2019–2023, ANR JCJC

• PAC-Bayesian theory and algorithms for agnostic learning

• Main coordinator of the project: Benjamin Guedj

• Funding: 180k EUR

• The consortium also includes Pierre Alquier (ENSAE ParisTech), Peter Grünwald (CWI, The Netherlands), Rémi Bardenet (UMR CRIStAL 9189).

ANR SMILE

Participants : Christophe Biernacki, Vincent Vandewalle.

• SMILE Project-2018-2022

• ANR project (ANR SMILE - Statistical Modeling and Inference for unsupervised Learning at LargE-Scale)

• Main coordinator of the project: Faicel Chamroukhi, LMNO, Université de Caen

• 4 partners - MODAL (Inria LNE), LMNO UMR CNRS 6139 (Caen), LMRS UMR CNRS 6085 (Rouen), LIS UMR CNRS 7020 (Toulon).

ANR ClinMine

Participants : Cristian Preda, Vincent Vandewalle.

• ClinMine Project-2014-2017

• ANR project (ANR TECSAN - Technologie de la santé)

• Main coordinator of the project: Clarisse Dhaenens, CRIStAL, USTL

• 7 partners - EA 1046 (Maladie d'Alzheimer et pathologies vasculaires, Faculté de Médecine, Lille), EA 2694 (Centre d'Etudes et de Recherche en Informatique Médicale - Faculté de Médecine, Lille), MODAL (Inria LNE), Alicante (Entreprise), CHRU de Montpelier, GHICL (Groupe Hospitalier de l'Institut Catholique de Lille), CRIStAL, USTL.

ANR TheraSCUD2022

Participant : Guillemette Marot.

• Acronym: TheraSCUD2022

• Project title: Targeting the IL-20/IL-22 balance to restore pulmonary, intestinal and metabolic homeostasis after cigarette smoking and unhealthy diet

• Coordinator: P. Gosset

• Duration: 3 years

• Partners: CIIL Institut Pasteur de Lille and UMR 1019 INRA Clermont-Ferrand

• Abstract: TheraSCUD2022, project coordinated by P. Gosset (Institut Pasteur de Lille), studies inflammatory disorders associated with cigarette smoking and unhealthy diet (SCUD). Guillemette Marot is involved in this ANR project as head of bilille platform, and will supervise 1 year engineer on integration of omic data. The duration of this project is 3 years (2017-2020).

Working groups

• Sophie Dabo-Niang belongs to the following working groups:

  • STAFAV (STatistiques pour l'Afrique Francophone et Applications au Vivant)

  • ERCIM Working Group on computational and Methodological Statistics, Nonparametric Statistics Team

  • Ameriska

• Benjamin Guedj belongs to the following working groups (GdR) of CNRS:

  • ISIS (local referee for Inria Lille - Nord Europe)

  • MaDICS

  • MASCOT-NUM (local referee for Inria Lille - Nord Europe).

• Guillemette Marot belongs to the StatOmique working group.

Other initiatives

Participants : Serge Iovleff, Cristian Preda, Vincent Vandewalle.

Serge Iovleff is the head of the project CloHe granted in 2016 by the Mastodons CNRS challenge “Big data and data quality”. The project is axed on the design of classification and clustering algorithms for mixed data with missing values with applications to high spatial resolution multispectral satellite image time-series. Website. Cristian Preda and Vincent Vandewalle are also members of the CloHe project.