CV

Basics

Name Fanny Lehmann
Label Postdoctoral fellow
Email fanny.lehmann@ai.ethz.ch
Phone +33-6-59-07-93-53
Url https://fannylehmann.github.io/
Summary Scientific Machine Learning in Earth Sciences.

Work

  • 2024.11 - 2026.10
    Postdoctoral Fellow
    ETH AI Center
    Developing an Earth foundation model to study the water cycle.
  • 2021.10 - 2024.09
    PhD in Machine Learning for Seismology
    Laboratoire de Mécanique Paris-Saclay (LMPS) & CEA
    Built a meta-model for elastic wave propagation to quantify seismic hazard uncertainties.
  • 2020.09 - 2021.07
    MSc by Research
    University of Bristol, Cabot Institute for the Environment
    Assessed the agreement between hydrological datasets
  • 2020.02 - 2020.08
    Research Intern
    INSERM, Environmental Epidemiology Team
    Statistical modeling of mortality as a function of temperature and climate change.
  • 2019.04 - 2019.08
    Research Intern
    CEA, Laboratory of Electronics for Energy and Power
    Modeled modular electric battery and optimized its aging process.
  • 2018.04 - 2018.07
    Research Intern
    Center for Mathematics and Their Applications
    Compared multi-task learning algorithms for biomedical applications.

Education

  • 2021.01 - 2024.01

    France

    PhD
    Université Paris-Saclay
    Machine Learning for Seismology
  • 2020.01 - 2021.01

    United Kingdom

    MSc by Research
    University of Bristol
    Global Environmental Challenges
  • 2018.01 - 2020.01

    France

    MSc
    École Normale Supérieure Paris-Saclay
    Applied Mathematics
  • 2015.01 - 2018.01

    France

    Bachelor
    ENS Paris-Saclay & Lycée Champollion
    Mathematics

Projects

  • 2024.11 - 2026.10
    Foundation Model for Weather and Climate
    Designing a foundation model integrating diverse datasets for forecasting and climate projections.
  • 2025.08 - 2026.03
    NeuroElastoSim
    Enhancing neural operators with diffusion models for high-frequency earthquake ground motion.
  • 2025.10 - 2026.01
    ActiFNO
    Improving training efficiency of neural operators via active learning.
  • 2023.09 - 2024.08
    EQUATE
    Developed AI-based fault detection in seismic data applied to earthquakes in India.

Awards

  • 2025.06.01
    PhD Award
    Caisse Centrale de Réassurance
    Recognized for outstanding PhD research with potential applications in reinsurance companies.
  • 2025.03.01
    PhD Award
    Computational and Structural Mechanics Association
    Awarded for excellence in computational mechanics research.
  • 2024.06.01
    Audience Prize
    3 Minute Thesis Competition
    Awarded the audience prize for research communication.
  • 2023.07.01
    G-Research Scholarship
    G-Research
    Received scholarship to attend the AGU Conference in San Francisco.
  • 2023.10.01
    Best Presentation Award
    TINCE Conference
    Best presentation award at TINCE conference (Technological Innovations in Nuclear Civil Engineering).
  • 2022.06.01
    Prize for Interdisciplinarity in Emerging Issues
    ENS Paris-Saclay
    Best student award for interdisciplinary research excellence.
  • 2021.09.01
    Best Dissertation Award in Climate Science
    Met Office UK
    Awarded for excellence in MSc dissertation work.

Languages

French
Native
English
Fluent
German
Intermediate