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1 Project

About

PhD student in the ML4IG team at Institut Pasteur working on Machine Learning for the inference of Gene Regulatory Networks from temporal single-cell data.

CV

Education

  • 2024 – Now: PhD Student in ML for genomics, jointly supervised by Laura Cantini (Institut Pasteur) and Luca Pinello (Harvard Medical School)
  • 2023 – 2024: Master of Sciences in Mathematics, Vision and Learning (Master MVA), ENS Paris-Saclay
  • Fall 2022: Exchange Program in Computer Science and Engineering major, University of California Davis
  • 2020 – 2023: Master of Engineering in Computer Science and Cognitive Science, ENSC Bordeaux INP
  • 2018 – 2020: Associate’s degree in Computer Science (DUT Informatique), IUT de Vannes

Research Experience

  • 2024: ML Research Intern, Learning physics with Graph Neural Networks, Inria AtraVision team (Paris), 6 months
  • 2023: ML Research Intern, Real-Time Neural Texture/Materials  using Block-Compressed Features (Eurographics 2024), Ubisoft La Forge (Bordeaux), 6 months
  • 2022: Applied Mathematics Research Intern, Dimensionality Reduction and Variable Selection with thresholded Sliced Inverse Regression (SIR), Inria ASTRAL team (Bordeaux), 3 months