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About

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.

Courses

09:00
12
Nov 2019
Course

Bioinformatics program for PhD students

This 50-hour training program required for all Institut Pasteur PhD students begins with a group of common core courses including a knowledge base in reproducible research, R Programming and Statistics. Each student then chooses […]
2019-11-12 09:00:00 2019-11-12 16:30:00 Europe/Paris Bioinformatics program for PhD students This 50-hour training program required for all Institut Pasteur PhD students begins with a group of common core courses including a knowledge base in reproducible research, R Programming and Statistics. Each student then chooses […] 25-28 Rue du Dr Roux, 75015 Paris, France
09:00
16
Jan 2017
Course

Introduction to data analysis

This five weeks graduate level course will give participants basic skills and hands-on training in biostatistics. It will cover all the steps of an analysis workflow : design, collection, curation, hypothesis testing and data […]
2017-01-16 09:00:00 2017-02-17 13:00:00 Europe/Paris Introduction to data analysis This five weeks graduate level course will give participants basic skills and hands-on training in biostatistics. It will cover all the steps of an analysis workflow : design, collection, curation, hypothesis testing and data […] 28 Rue du Docteur Roux, Paris, France
09:00
08
Mar 2016
Course

Morning session – Data analysis using R

This course is an introduction to data analysis. It is better to have a minimal knowledge of R. If not, an introductory tutorial is available on the course’s web page and the basics of […]
2016-03-08 09:00:00 2016-04-12 12:00:00 Europe/Paris Morning session – Data analysis using R This course is an introduction to data analysis. It is better to have a minimal knowledge of R. If not, an introductory tutorial is available on the course’s web page and the basics of […] 28 Rue du Docteur Roux, Paris, France
09:00
16
Oct 2017
Course

Introduction to Data Analysis

This four-week graduate level course will give participants basic skills and hands-on training in statistics and descriptive data analysis. This course is (primarily) dedicated to first year PhD students of the Institut Pasteur (each […]
2017-10-16 09:00:00 2017-11-17 12:00:00 Europe/Paris Introduction to Data Analysis This four-week graduate level course will give participants basic skills and hands-on training in statistics and descriptive data analysis. This course is (primarily) dedicated to first year PhD students of the Institut Pasteur (each […] 28 Rue du Docteur Roux, Paris, France
09:00
22
Oct 2018
Course

Introduction to Data Analysis

This four-week graduate level course will give participants basic skills and hands-on training in statistics and descriptive data analysis. This course is (primarily) dedicated to first year PhD students of the Institut Pasteur (each […]
2018-10-22 09:00:00 2018-11-20 00:00:00 Europe/Paris Introduction to Data Analysis This four-week graduate level course will give participants basic skills and hands-on training in statistics and descriptive data analysis. This course is (primarily) dedicated to first year PhD students of the Institut Pasteur (each […] 28 Rue du Dr Roux, Paris, France
09:00
08
Jan 2018
Course

Introduction to Data Analysis

This four-week graduate level course will give participants basic skills and hands-on training in statistics and descriptive data analysis. This course is (primarily) dedicated to first year PhD students of the Institut Pasteur (each […]
2018-01-08 09:00:00 2018-02-02 00:00:00 Europe/Paris Introduction to Data Analysis This four-week graduate level course will give participants basic skills and hands-on training in statistics and descriptive data analysis. This course is (primarily) dedicated to first year PhD students of the Institut Pasteur (each […] 28 Rue du Docteur Roux, Paris, France

Projects

project
Ongoing
5 Members

Host microbiota modification by epidemic Listeria monocytogenes

Javier Pizarro-Cerda (PI)

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 […]
project
Ongoing
6 Members

Development of a new statistical tool for the analysis of large HDX-MS data sets

Sébastien Brier (PI)

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 […]
project
Completed
6 Members

16S rDNA data analysis

Laurent Debarbieux (PI)

To perform assignment of 16S sequences to bacterial genera and statistical analysis of variations of bacterial populations collected from mice feces

Software

software
Completed
5 Members

MEMHDX – Mixed Effects Models for HDX experiments

Sébastien Brier (PI)

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 […]
software
Ongoing
8 Members

SHAMAN: SHiny Application for Metagenomic ANalysis

Amine Ghozlane (PI)

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, […]

CV

Professional Experience

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

 

Education

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

Publications

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