CV

Last updated: March 2025

Curriculum Vitae

Education

• Ph.D. in Artificial Intelligence applied to Planetary Sciences
  Paris-Saclay University, France (2025, expected)
  Thesis Topic: Automatic Crater Detection and Characterization Supervision: Frédéric Schmidt and François Andrieu

• M.S. in Planetary Sciences and Space Exploration
  Paris-Saclay University, France (2022)

• M.S. in Astrophysics
  Claude Bernard Lyon 1 University, France (2021)

• B.S. in Fundamental Physics
  South Bretagne University, France (2019)

Work Experience

Research Experience

• PhD, GEOPS Laboratory, Paris-Saclay University, Orsay, France
  October 2022 – Present
  • Subject: Automatic Crater Detection and Characterization
  • Supervision: Frédéric Schmidt and François Andrieu
• Key Contributions:
  • Developed an AI-based computer vision algorithm for automated crater detection on Mars and the Moon. This algorithm demonstrates results in Earth observation domain as well with the detection of termokarstic lake in Yukon.
  • Gained expertise in Environmental Sciences, Computer Science, AI, Data Analysis, Remote Sensing, and Geomorphology, applying interdisciplinary approaches to planetary and terrestrial studies.
  • Contributed to the publication of two scientific articles in major scientific journals, advancing automated feature detection in planetary research.
  • Presented research findings at three major international conferences (United States, Germany, Finland), engaging with the scientific community.
  • Delivered courses to MSc students in Planetary Sciences, enhancing knowledge transfer in remote sensing and AI applications.
• Research Intern, GEOPS Laboratory, Orsay, France
  March–August 2022
  • Subject: Automatic crater detection using computer vision algorithms
  • Supervision: Frédéric Schmidt and François Andrieu
  • Key Contributions:
    • Application of a deep-learning computer vision model to detect craters on planetary surface images, achieving high accuracy in test datasets.
    • Preprocessed high-resolution planetary datasets (e.g., Mars Reconnaissance Orbiter/CTX) to optimize input for deep learning workflows.
    • Automated data annotation and augmentation to improve the model’s performance across diverse planetary terrains.
    • Validation of the results by comparing detected craters with existing databases, demonstrating significant consistency and robustness.
    • Development of a Python-based pipeline for end-to-end crater detection, including preprocessing, model training, and post-processing.
    • Participation in the bi-annual “Programme National de Planétologie” symposium to present my work with a poster.
• Research Intern, LGLTPE Laboratory, Lyon, France
  March–August 2021
  • Subject: Global-scale classification of Martian datasets using unsupervised machine learning algorithms
  • Supervision: Cathy Quantin-Nataf
  • Key Contributions:
    • Application of machine learning clustering algorithms to classify various global-scale Martian surface data products provided by instruments such as OMEGA, THEMIS, GRS, and MOLA.
    • Preprocessed and analyzed large planetary datasets using Python and geospatial libraries (GDAL, NumPy, Matplotlib).
    • Integrated results into ArcGIS and QGIS for spatial visualization and refinement of classification outputs.
    • Evaluated the geological significance of classified regions by correlating clusters with known mineralogical and morphological features.
    • Contributed to advancing methodologies for planetary surface mapping, enhancing understanding of Martian surface composition.
• Research Intern, IRAP Laboratory, Toulouse, France
  March–August 2020
  • Subject: Looking for seismic doublets at 2.4Hz in InSight/Seis data
  • Supervision: Ludovic Margerin
  • Key Contributions:
    • Applied advanced signal processing techniques (e.g., band-pass filtering, cross-correlation) to identify recurring seismic events in SEIS data.
    • Developed Python scripts leveraging SciPy and NumPy for automated detection and analysis of seismic doublets.
    • Analyzed frequency spectra and time delays between doublets to infer source characteristics.
    • Provided insights into the internal structure and seismic activity of Mars based on the detection or non-detection of seismic doublets.
• Research Intern, IRAP Laboratory, Toulouse, France
  May-June 2019
  • Subject: Seismicity of the moon
  • Supervision: Ludovic Margerin
  • Key Contributions:
    • Application of a radiative transfer and diffusion model to analyze lunar seismic data, focusing on the behavior of seismic coda signals.
    • Data analysis and model implementation with Python.
    • Used the geophysical library BurnMan to simulate and infer planetary interior structures.
    • Measured the regolith thickness using seismic modeling techniques.

Other professional experiences

• Seasonal Manager, Kayak Rental Spot, Arradon, France
  Summers 2016–2018
  • For Armor Evasion.
  • Managed all aspects of a kayak rental business, from daily operations to long-term strategy.
  • Oversaw bookings, customer service, and on-site equipment rentals.
  • Maintained and repaired equipment to ensure safety and quality.
  • Organized guided group outings with certified instructors, ensuring a seamless customer experience.
  • Handled financial responsibilities, including accounting, budgeting, and reporting.

This role highlights my entrepreneurial mindset, organizational skills, and ability to manage diverse tasks in a dynamic and customer-focused environment.

Skills

Computational Expertise

• Programming Languages:
  • Proficient in Python (NumPy, SciPy, PyTorch, Pandas, Matplotlib).
  • Familiar with Fortran and C++ for computational modeling.
  • Skilled in Bash shell workflows.
• High-Performance Computing:
  • Extensive experience with multi-CPU/GPU cluster environments for numerical simulations.
  • Advocates for Free and Open-Source Software for reproducible research.
• Software and Tools:
  • GIS Tools: Expert in QGIS, GDAL, python library such as GeoPandas, rasterio and shapely and custom planetary data processing pipelines.
  • Version Control: Proficient in Git for collaborative projects.

Leadership and Outreach

• Ph.D. student representative at the GEOPS Laboratory Council (2022-2024).
• Participated at the annual Fête de la Science, engaging with primary school students (2022, 2023, 2024).
• Chair of the sessions “Mars” at the 55th EPSC-DPS conference (2023)
• Participated at the summer school RED23: Rencontres Exobiologiques pour Doctorants (2023).
• President, Physics Association of Lyon 1 University (2019–2020)
• Treasurer, English Speaking Society of Bretagne Sud University (2016–2017)

Languages

• French: Native
• English: C1 (TOEIC certified)
• Japanese: Beginner