Magali CHAMPION

Assistant Professor at IUT de Paris - Rives de Seine
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Contact Information
us****@****om
(386) 825-5501
Location
Zug, Zug, Switzerland, CH
Languages
  • French Native or bilingual proficiency
  • English Full professional proficiency
  • Spanish Limited working proficiency
  • German Professional working proficiency

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Bio

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Experience

    • France
    • Higher Education
    • 1 - 100 Employee
    • Assistant Professor
      • Sep 2018 - Present

      Since the beginning of 2018, I have been an Assistant Professor in Statistics at IUT de Paris-Rives de Seine, Université Paris Cité. My research works focus on the development of machine learning methods for biomedical applications. I teach machine learning, statistics and statistical softwares to students at Université Paris Cité. Since the beginning of 2018, I have been an Assistant Professor in Statistics at IUT de Paris-Rives de Seine, Université Paris Cité. My research works focus on the development of machine learning methods for biomedical applications. I teach machine learning, statistics and statistical softwares to students at Université Paris Cité.

    • Switzerland
    • Higher Education
    • 700 & Above Employee
    • Guest Researcher
      • Jan 2022 - Jul 2022

      I spent seven months as an academic guest at the Seminar for Statistics (SfS) at ETH Zürich. I spent seven months as an academic guest at the Seminar for Statistics (SfS) at ETH Zürich.

    • France
    • Higher Education
    • 700 & Above Employee
    • Postdoctoral Researcher
      • May 2016 - Apr 2018

      During two years, I worked as a postdoctoral researcher at Université Paris Descartes. I was part of a biomedical project, which main goal consisted in identifying specific subtypes of bladder cancer using machine learning, algorithmic and computational biological tools. During two years, I worked as a postdoctoral researcher at Université Paris Descartes. I was part of a biomedical project, which main goal consisted in identifying specific subtypes of bladder cancer using machine learning, algorithmic and computational biological tools.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Postdoctoral Researcher
      • Apr 2015 - Apr 2016

      I spent one year as a postdoctoral researcher at the Stanford Center for Biomedical Informatics Research. While there, I worked on AMARETTO, a multi-omics cancer data integration algorithm, which led to the discovery of key genes involved in the immune response against multiple cancers. I spent one year as a postdoctoral researcher at the Stanford Center for Biomedical Informatics Research. While there, I worked on AMARETTO, a multi-omics cancer data integration algorithm, which led to the discovery of key genes involved in the immune response against multiple cancers.

    • France
    • Higher Education
    • 300 - 400 Employee
    • Research And Teaching Assistant
      • Oct 2014 - Mar 2015

    • France
    • Higher Education
    • 700 & Above Employee
    • Ph.D. Student in Statistics
      • 2011 - 2014

      My Ph.D. works focused on the theoretical analysis and the development of statistical and optimization methods in the context of gene networks. My Ph.D. works focused on the theoretical analysis and the development of statistical and optimization methods in the context of gene networks.

Education

  • Université Paul Sabatier (Toulouse III)
    Doctor of Philosophy - Ph.D., Statistics
    2011 - 2014
  • Université Paul Sabatier (Toulouse III)
    Master of Science - M.Sc., Applied Mathematics
    2009 - 2011
  • Université Paul Sabatier (Toulouse III)
    Bachelor of Science - B.Sc., Pure Mathematics
    2006 - 2009
  • Lycée Louis Barthou
    CPGE, Mathematics and physics
    2006 - 2008

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