Magali Champion

Assistant Professor in Statistics, IUT Paris-Rives de Seine, Université Paris Cité

Office 732-E

MAP5, Université Paris Cité

45 rue des Saints-PĂšres

75006 Paris


I am an assistant professor in Statistics at the Data Science (SD) department of IUT Paris-Rives de Seine, Université Paris Cité and a member of the MAP5 lab. I am specialized in the development of machine learning methods for high-dimensional data. I work on biomedical projects in collaborations with clinicians.

About me: before joining the MAP5, I spent one year as a postdoctoral researcher at the Stanford Center for Biomedical Informatics Research (BMIR). I completed my PhD in December 2014 from Université Toulouse III under the supervision of Sébastien Gadat, Christine Cierco-Ayrolles and Matthieu Vignes.

For more info about me, please check my CV (last update 10/2023).


Research interests

  • Machine learning
    • high-dimension
    • graphical models
    • penalized linear regressions
    • sparse methods
    • clustering
    • statistical modelling
  • Computational biology
    • gene regulatory network inference
    • applications to medical research
    • multi-omics data integration


Apr 24, 2023 Our NIPD (Non-Invasive Prenatal Diagnosis) paper has been accepted for publication in the PLoS One journal. 🎉
Jan 9, 2023 I will give a lecture “Statistical learning of gene networks, from inference to clustering” at the JMBS French Fall School. 🍁
Jan 26, 2022 A new version of the l1 spectral-clustering paper is available online. 📰

Selected publications

    1. Plos One
      Non-Invasive Prenatal Diagnosis of Single Gene Disorders with enhanced Relative Haplotype Dosage Analysis for diagnosis implementation
      M. Pacault, C. Verebi, Magali Champion, L. Orhant, A. Perrier, E. Girodon, F. Leturcq, D. Vidaud, C. FĂ©rec, T. Bienvenu, R. Daveau, and J. Nectoux
      Plos One 2023