After a diploma of statistician engineer from the Ensai (Ecole Nationale de la Statistique et de l’Analyse de l’Information) and a Ph.D in applied mathematics in the Statistics & Genome lab (AgroParisTech), I worked as a developer for the XLSTAT software. I have implemented some statistical methods such as mixture models, log-linear regression, mood test, bayesian hierarchical modeling CBC/HB, … Then I worked as a head teacher in statistics for one year. I was recruited in the Bioinformatic and biostatistic hub of the C3BI (Center of Bioinformatics, Biostatistics and Integrative Biology) in 2014, I am in charge of the statistical analysis and the development of R/R shiny pipelines.
Host microbiota modification by epidemic Listeria monocytogenes
Listeriolysin S is a bacteriocin specifically produced in the intestine of orally infected mice and necessary for Listeria monocytogenes survival in this organ. In order to investigate whether this toxin might influence the composition […]
Development of a new statistical tool for the analysis of large HDX-MS data sets
Hydrogen Deuterium eXchange followed by Mass Spectrometry (HDX-MS) is a recognized biophysical tool in structural biology capable of probing protein/ligand interactions, conformational changes, and protein folding and dynamics. The use of improved HDX-MS workflows […]
MEMHDX – Mixed Effects Models for HDX experiments
This tool allows users to perform an automated workflow to analyze, validate and visualize large HDX-MS datasets. The input file is the output of DynamX software from Waters. Output files provide a plot of […]
SHAMAN: SHiny Application for Metagenomic ANalysis
SHAMAN is a SHiny Application for Metagenomic ANalysis including the normalization, the differential analysis and mutiple visualization. SHAMAN is based on DESeq2 R package [Anders and Huber 2010] for the analysis of metagenomic data, […]
Since October 2014 – Institut Pasteur – HUB Team
2013 – 2014 – Head teacher in statistics – MEDISUP sciences
Main activities: Teach statistics to first year medicine students
2012 – 2013 – Developer of algorithms and statistical methods – Addinsoft, XLSTAT software
Main activities: Implement new statistical modules for XLSTAT software. Write support and tutorials for each new methods (french/english).
2008 – 2012 – Ph.D student in applied mathematics, statistics – AgroParisTech
Subject: Semi-parametric modelisation with Markovian dependency. Main activities: Develop new statistical models to deal with spatial dependency in tiling-array data (microarrays with overlapping probes). Supervisors: Stéphane Robin and Marie-Laure Martin Magniette
2012 – Ph.D in applied mathematics, statistics – AgroParisTech
2008 – Master 2 degree in mathematics, statistics option – Université de Rennes 1
2008 – Biostatistics engineer – ENSAI (Ecole Nationale de la Statistique et de l’Analyse de l’Information) – Bruz
2018Emotional hyper-reactivity and cardiometabolic risk in remitted bipolar patients: a machine learning approach, Acta Psychiatr Scand 2018 May;.
2018Diverse laboratory colonies of Aedes aegypti harbor the same adult midgut bacterial microbiome, Parasit Vectors 2018 Mar;11(1):207.
2017Carryover effects of larval exposure to different environmental bacteria drive adult trait variation in a mosquito vector, Sci Adv 2017 Aug;3(8):e1700585.
2016DNA minicircles clarify the specific role of DNA structure on retroviral integration, Nucleic Acids Res. 2016 Jul;.
2016MEMHDX: an interactive tool to expedite the statistical validation and visualization of large HDX-MS datasets, Bioinformatics 2016 Nov;32(22):3413-3419.
2016Bacteriocin from epidemic Listeria strains alters the host intestinal microbiota to favor infection, Proc. Natl. Acad. Sci. U.S.A. 2016 May;.
2016Bacteriophages to reduce gut carriage of antibiotic resistant uropathogens with low impact on microbiota composition, Environ. Microbiol. 2016 Mar;.
2014Hidden Markov Models with mixtures as emission distributions, Statistics and Computing, July 2014, Volume 24, Issue 4, 493-504.
2012Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency, CSDA, Volume 56, Issue 8, August 2012, 2375–2387.
2009Clustering based on Random Graph Model embedding Vertex Features, Pattern Recognition Letters 2009; 830–836.
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