Experience

  1. Postdoctoral Researcher

    CERDI
    • Theme: Volcano Economics
    • Project : PROXVOLC “Explaining population presence near volcanoes: indirect impacts of volcanic eruptions”
    • Role: Principal Investigator (105k)
    • Collaboration: Pascale Phélinas, Michaël Goujon, Sébastien Marchand, and Johanna Choumert

  2. Postdoctoral Researcher

    ERUDITE
    • Theme: Social Housing
    • Project: “Housing Markets: Price Dynamics, Land Use Dynamics, Wealth Dynamics” within the Research Program “Land and Affordable Housing” of the Union Sociale pour l’Habitat and its partners.
    • Supervisors: Camille REGNIER and Kévin FOURREY

  3. Ph.D. Researcher

    CESAER
    • Theme: Economic evaluations of green spaces
    • Project PubPrivLand
    • Supervisors: Julie Le Gallo and Mohamed Hilal
    • Study dimensions and scales: urban/rural, France/Spain/Europe, Real estate/tourism market
    • Methods: causal inference (Augmented Inverse Probability Weighted, Generalized Propensity Score Matching)

  4. Research Assistant

    FERDI
    • Literature review on the taxation of renewable natural resources
    • Reports for a steering committee and webinars on challenges of internal resource mobilization in the face of the COVID-19 crisis

  5. Research Assistant

    Laboratory of Economics of Orléans
    • Creation of databases and statistical analyses on STATA
    • Report on the impact of environmental regulations on trade
    • Organization of AFSE 2019
    • Supervisors: Camelia Turcu and Thaís Núñez-Rocha

Education

  1. PhD in Environmental economics

    Université de Bourgogne
    • Title: “Three essays on the economic value of recreational amenities provided by green spaces”.
    • Supervised by Prof Julie Le Gallo and Mohamed Hilal.
    • Thesis Defense: December 8, 2023
    • Committee: Florent Sari, Rosella Nicolini, Julien Salanié, Jeanne Dachary-Bernard, Vincent Viguié
    • Agreenium International Research School doctoral programme
    • Certified under the European Doctorate label
    Read Thesis

  2. MSc in Development economics

    Université Clermont-Auvergne

    Courses included:

    • Econometrics
    • Development economics

  3. BSc in Economics

    Université Clermont-Auvergne

    Courses included:

    • Microeconomics
    • Macroeconomics
    • Statistics
Skills & Hobbies
Technical Skills
R icon R
STATA
Python
SQL
Languages
French: Native
English: Fluent
German: Elementary
Spanish: Beginner
Hobbies
Board games
Tennis
Certification
Geospatial artificial intelligence for international development
IHEDD ∙ December 2024

Learned:

  • Spatial Data Manipulation and Analysis: Advanced use of Python libraries for manipulating, visualizing, and performing statistical analysis on geospatial data.
  • Machine Learning Applied to Spatial Data: Understanding core concepts and implementing advanced methods such as ElasticNet, Random Forest, and XGBoost.
  • Deep Learning for Satellite Image Analysis: Learning fundamental concepts, implementing classical neural networks, and using architectures tailored for satellite imagery.
  • Transfer Learning: Importing and fine-tuning pre-trained models for specific tasks in geospatial image processing.
  • Data Fusion: Combining information from satellite images and numerical data to create complex indicator maps.