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  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
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  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Clinical Research Nurse
  • Clinician Researcher
  • Department Manager
  • Dual-education Student
  • Full Professor
  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
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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

11ème école de bioinformatique AVIESAN-INSERM-IFB

Initiation au traitement des données de génomique obtenues par séquençage à haut débit Bulk RNA-seq, ChIP-seq/ATAC-seq, variants DNA-seq, single-cell RNA-Seq, niveau 1 Objectifs La formation s’adresse à des biologistes directement impliqués dans des projets […]

2022-11-13 18:00:00 2022-11-18 13:00:00 Europe/Paris 11ème école de bioinformatique AVIESAN-INSERM-IFB Initiation au traitement des données de génomique obtenues par séquençage à haut débit Bulk RNA-seq, ChIP-seq/ATAC-seq, variants DNA-seq, single-cell RNA-Seq, niveau 1 Objectifs La formation s’adresse à des biologistes directement impliqués dans des projets […] Station Biologique De Roscoff, Place Georges Teissier, Roscoff, France Add to Calendar

Bioinformatics program for PhD students 2020-2021

This mandatory 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 can […]

2020-10-15 09:30:00 2021-06-03 17:00:00 Europe/Paris Bioinformatics program for PhD students 2020-2021 This mandatory 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 can […] 25-28 Rue du Dr Roux, 75015 Paris, France Add to Calendar

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 Add to Calendar

Projects

Software

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

2012Ph.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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