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  • Veterinary
  • Visiting Scientist
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  • Deputy Head of Facility
  • Director of Center
  • Director of Department
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About

I am a research engineer with a background in applied mathematics. I received a PhD in Statistics in 2015 from the Université de Rennes 1, working at Agrocampus-Ouest under the supervision of David Causeur. My PhD was about variable selection for supervised classification in high dimension, when predictors are correlated. I applied the theoretical results of my PhD to ERP (Event Related Potentials) data in Psychology. During my postdoctoral position at INRIA at Grenoble I worked on robust nonlinear regression, using mixtures of regression and heavy tailed distributions, finally applying the results to planetology data.

I have been working at Institut Pasteur since 2017, as a member of the Statistics Group of the Hub of Bioinformatics and Biostatistics. I work on various applications of statistics on data generated by Institut Pasteur research units including:

  • statistical analysis of high-dimensional data
  • statistical analysis of time series
  • differential analysis of transcriptomics and proteomics data
  • functional analysis of transcriptomics and proteomics data (GSEA)
  • analysis of RNA-Seq single-cell data

I also work in collaboration with the animal facility to support scientists in experimental design optimization (3R) as well as sample size computation and power analysis.

Courses

CV

Positions

Since February 2017  Research engineer, Hub of Bioinformatics and Biostatistics, Département de Biologie Computationnelle, Institut Pasteur

2015-2017  Post doctoral position, team MISTIS, INRIA Grenoble

Topic: Robust clustering and robust non linear regression in high dimension. Collaboration with Florence Forbes (INRIA).

2012-2015  PhD thesis in Statistics, Applied Mathematics Department of Agrocampus-Ouest and Université Rennes 1, Rennes

Topic: Stability of variable selection in regression and classification issues for correlated data in high dimension. Supervisor: David Causeur (Agrocampus-Ouest, IRMAR).

Education

2015 PhD thesis in Statistics, Applied Mathematics Department of Agrocampus-Ouest and Université Rennes 1, Rennes

2012 ISUP degree (Institut de Statistique de l’UPMC), Université Pierre et Marie Curie, Paris

2012 Master 2 of Statistics, Université Pierre et Marie Curie, Paris

Links

R code to run simulations of the article Devijver E. and Perthame E., Prediction regions through Inverse Regression, Journal of Machine Learning Research 21 (2020) 1-24, available here

Publications

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