Education

  • Ph.D. in Statistics, University of Bern (Bern, Switzerland), Nov. 2018 - Nov. 2022 (expected)
  • M.S. in Applied Mathematics, University Paris Dauphine (Paris, France), 2017 - 2018
  • M.S. in Engineering and Applied Mathematics, Ecole des Mines de Saint-Etienne, 2015 - 2018
  • Preparatory classes, Lycée Henri IV (Paris, France), 2013 - 2015

Work experience

  • Research and Teaching assistant: Nov. 2018 - Actual
    At the Institute of statistics, University of Bern (Bern, Switzerland).
    Until May 2020, the affiliation was shared with Idiap Research Institute (Martigny, Switzerland).
    • Research assistant with a strong focus on the Ph.D. topic Modelling and predicting distribution-valued fields with applications to inversion under uncertainty.
      Participating in scientific collaborations. Developing code and reproducible examples (mostly in language R).
    • Teaching assistant for the institute of statistics at university of Bern:
      • R course (Fall term 2022)
      • Linear models I (Fall term 2022)
      • Spatial statistics (Spring term 2022).
      • Statistics for climate sciences I/II (Fall term 2019, spring term 2020, Fall term 2020).
      • Optimization methods (Spring term 2019).
    • Co-supervisor (main supervisor: D. Ginsbourger) of the Master thesis: “Gaussian process regression on molecules: some performance assessments and comparisons”. (2021)
    • Teaching assistant in the continuing education program Master AI at Idiap Research Institute and Unidistance.
      • Foundations in statistics for AI (Spring term 2019 and 2020).
    • Statistical consultant in the institute of statistics, University of Bern. (Jan. 2021 - ongoing)
  • Research Intern: Mar. - Oct. 2018.
    At Idiap Research Institute (Martigny, Switzerland)
    • Working on “Statistical and machine learning approaches to optimization problems under uncertainty arising in energy planning”, under the supervision of David Ginsbourger.
  • Engineering Intern: Summer 2017
    • ELM Leblanc SAS (Drancy, France)
    • Working on “data integration for smart energetic systems”

Awards or distinctions

  • Mascot 2022 annual meeting: Award for the best oral presentation.
  • Mascot 2021 annual meeting: Award for the best poster presentation.
  • SIAM: Recipient of a travel award for SIAM UQ 2022