Raphaëlle Momal

PostDoc fellow

InfoBioStat Team, MetaGenoPolis

INRAe

About me

I am a postdoctoral fellow at MetaGenoPolis, INRAe Jouy-en-Josas, France. A dive into human gut microbial networks obtained with shotgun sequencing, in which I will contribute regarding the network robustness, clustering and comparison.

CV: english version (updated 04/03/2021).

The thesis project

I completed a thesis in Applied Mathematics, entitled “Network inference from incomplete abundance data”. This work was supervised by Stéphane Robin and Christophe Ambroise and realised at the French Mathématiques et Informatique appliquées Lab (MIA-Paris).

Manuscript

Defense presentation

Interests

Network inference
Network robustness
Network comparison
Conditional dependencies
Metagenomics
(V)EM algorithm

Education

Ph. D in Applied Mathematics, 2020

Paris Saclay University
Master's Degree in biostatistics, 2017

ENSAI (National school for Statistics and Data Analysis)
Research Master's Degree in Mathematics for Statistics, 2017

Rennes 1 University

Publications

Raphaëlle Momal, Stéphane Robin, Christophe Ambroise. Accounting for Missing Actors in Interaction Network Inference from Abundance Data. 2020.

Preprint R Package

Raphaëlle Momal, Stéphane Robin, Christophe Ambroise. Tree-based Inference of Species Interaction Networks from Abundance Data. Methods in Ecology and Evolution, 2020.

PDF R Package Suppl. code

Foissac S., Djebali S., Munyard K., Vialaneix N., Rau A., Muret K., … & Blanc F.. Multi-species annotation of transcriptome and chromatin structure in domesticated animals.. BMC biology, 17(1), 1-25., 2019.

Article Project

Raphaëlle Momal, Stéphane Robin, Christophe Ambroise. Latent Tree based Inference of Ecological Network using the Poisson Log-Normal Model. JOBIM conference proceedings - pages 515-519, 2018.

PDF