PhD student in the ML4IG team at Institut Pasteur and the Pinello Lab at Harvard Medical School, working on Machine Learning for the inference of Gene Regulatory Networks from temporal single-cell data.
Projects
CV
Education
- 2024 – Now: PhD Student in ML for genomics, Pasteur Institute (Laura Cantini) & Harvard Medical School (Luca Pinello)
- 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