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Experience
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2023 - 2026 Cosmology and Machine Learning PhD candidate
CEA, Irfu, Gif-sur-Yvette, France - Scalable Bayesian inference with automatically differentiable simulators for the cosmological analysis of the DESI spectroscopic survey.
- Advisors: A. de Mattia, F. Lanusse
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2022/05 - 2023/01 Machine Learning Research Engineer
CNRS, UMR 9189 CRIStAL, Lille, France - Subsampling methods for large datasets learning.
- Advisors: R. Bardenet and S. Ghosh.
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2021/05 - 2021/08 Statistics Research Intern
UCLouvain, ISBA, Louvain-la-Neuve, Belgium - Adaptive importance sampling with control variates.
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2020/09 - 2021/03 Avionics R&D Intern
Safran Electronics & Defense, Éragny, France - Refining aerodynamic characterization methods from simulated and flight test inertial data.
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2019/07 - 2019/08 Bioinformatics Research Intern
INRIA, UMR 6074 IRISA, Rennes, France - Identifying key regulators within multiomic networks.
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Summers 2017 & 2018 Laboratory & Field Research Technician
INRAE, UMR 1349 IGEPP, Le Rheu, France - Biological experimenting and data analysis for insect population dynamics modeling.
Education
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2021 - 2022 MSc in Maths, Imaging, Machine Learning (MVA)
ENS Paris-Saclay, France -
2018 - 2022 MEng in Applied Maths and Computer Science
Télécom Paris, France - Specializations: image/language/signal processing and machine learning, stochastic modeling and calculus, theoretical computer science.
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2016 - 2018 Preparatory Classes for Grandes Écoles
Lycée F. Rabelais, Saint-Brieuc, France - Selective scientific studies for competitive admission to top-tier French graduate schools.
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2016 Scientific baccalaureate
Lycée T. Monod, Le Rheu, France - French secondary school diploma.