Experience

  1. PhD in Bioinformatics

    LaBRI - Bordeaux University

    Research focus on AI models for neurological disease prediction entitled “An AI Assembly for Neurological Disease Prediction”.

    Supervising Professors: Pierrick Coupé & Rémi Giraud.

  2. R&D Intern - AI Forest Fire Modeling

    Thales
    Developed AI-based surrogate models for forest fire propagation analysis.

  3. R&D Intern - Data Science

    QuadrX
    Created a data science workflow to analyze wind gusts for solar structure placement using PyTorch and Google Earth Engine.

  4. Research Assistant

    IMAG - CNRS

    Used convolutional neural networks to characterize texture orientations in supervised learning experiments.

    Supervised by Kévin Polisano.

Education

  1. Engineering Degree in Computer Science

    Grenoble INP ENSIMAG

    Courses included:

    • Machine Learning and Neural Networks
    • Advanced Data Analysis
    • Probability Theory and Stochastic Processes

  2. Master of Applied Mathematics

    Université Grenoble Alpes
    Dual degree in applied mathematics and computer science with a focus on AI and computational science.

  3. Exchange in semester Master of Science

    Aalto University
    Focused on advanced AI and machine learning courses during an exchange semester in Helsinki (Finland).
Skills & Hobbies
Technical Skills
Python
Deep Learning (PyTorch)
Data Science (R, Python)
Hobbies
Skiing
Boxing
Running
Languages
100%
French
90%
English
50%
Spanish