Jehanne Reboud

Climate Data Scientist at finres
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Contact Information
us****@****om
(386) 825-5501
Location
Lausanne, Vaud, Switzerland, CH
Languages
  • French Native or bilingual proficiency
  • English Professional working proficiency
  • German Limited working proficiency

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Credentials

  • Climate-KIC Education Programme
    EIT - European Institute of Innovation and Technology
    Jan, 2020
    - Nov, 2024

Experience

  • finres
    • France
    • Financial Services
    • 1 - 100 Employee
    • Climate Data Scientist
      • Sep 2023 - Present

      Applying physics and machine learning methods to enhance agricultural resilience and ensure food security in a context of climate variability. Applying physics and machine learning methods to enhance agricultural resilience and ensure food security in a context of climate variability.

  • LIP6 - Laboratoire d'Informatique Sorbonne Université/CNRS
    • France
    • Research Services
    • 1 - 100 Employee
    • Machine Learning for Ocean Intern
      • Apr 2022 - Oct 2022

      Implementation of deep learning models to enhance the quality of ocean observations and advance the tracking of ocean movements at various scales. Synchronization of satellite observations of the ocean with data derived from the Mercator numerical model to enhance the resolution of SSH (Sea Surface Height). Implementation of deep learning models to enhance the quality of ocean observations and advance the tracking of ocean movements at various scales. Synchronization of satellite observations of the ocean with data derived from the Mercator numerical model to enhance the resolution of SSH (Sea Surface Height).

  • Laboratoire de Météorologie Dynamique - IPSL
    • France
    • Research Services
    • 1 - 100 Employee
    • Climate Physicist Intern
      • Apr 2021 - Aug 2021

      Research on the impact of ascending smoke vortices in the stratosphere during large forest fires : • Vortex modeling • Remote sensing data processing (Lidar CALIOP) • Weather forecast model simulation (ECMWF) Research on the impact of ascending smoke vortices in the stratosphere during large forest fires : • Vortex modeling • Remote sensing data processing (Lidar CALIOP) • Weather forecast model simulation (ECMWF)

Education

  • Sorbonne Université
    Master 2, Data & Computer Science (DAC)
    2021 - 2023
  • Sorbonne Université
    Master 1, Meteorology, Oceanography, Climatology and Spatial Engineering (MOCIS)
    2020 - 2021
  • Université Paris-Saclay
    BSc 2 - BSc 3, Physics
    2018 - 2020
  • Ecole polytechnique fédérale de Lausanne
    BSc 1, Physics
    2016 - 2018

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