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Research experience, education and skills.
Research Experience
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2024 - present 
Ph.D. Student
ISIR, Sorbonne Université, Paris, France - Supervised by Mohamed Chetouani and Olivier Sigaud, working on language-conditioned manipulation.
- Detection of semantic-misalignment robotic failures with vision-language models.
- Hierarchical diffusion policies and their fine-tuning for language-conditioned control.
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2023 - 2024 
Research Intern
Whiteson Research Lab (WhiRL), University of Oxford, UK - Supervised by Shimon Whiteson, on the imitation gap in reinforcement learning environments.
- Built IGDrivSim, an imitation gap benchmark for autonomous driving based on the Waymo Open Motion Dataset, studying how observability constraints affect imitation learning (JAX).
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2023 Research Intern
ISIR, Sorbonne Université, Paris, France - Theory of Mind between AI agents in a teacher-learner setup.
- Modelled Theory of Mind as a Bayesian process over a finite set of learner types, and implemented a deep policy-prediction model (PyTorch).
Industry Experience
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2022 
Data Scientist Research Intern
GE HealthCare, France - Generic encoder for 3D organ and vessel segmentation on CT images, with multi-output training architectures and transfer learning strategies (TensorFlow).
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2021 
Software Developer Intern
LocalSolver (now Hexaly), Paris, France - Implemented state-of-the-art pre-processing methods for Mixed Integer Linear Programs and the transfer of solutions from local search to the MIP solver's branch-and-cut (C++).
- Mathematical modelling of the industrial pooling problem.
Education
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2022 - 2023 
M.Sc. Mathematics, Vision and Machine Learning (MVA)
ENS Paris-Saclay, France - Reinforcement learning, deep RL, sequential learning
- 3D computer vision, image denoising, object recognition
- Optimal transport, advanced optimisation, graphs in machine learning
- Natural language processing, time series analysis
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2019 - 2023 
Engineering Master's in Mathematics and Computer Science
École des Ponts ParisTech, France - Mathematical optimisation, operational research, machine learning
- Statistics and data analysis, random processes, game theory
Summer Schools
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2026 
Peyresq Summer School on Generative Modelling and Optimal Transport
Peyresq, France - One-week school organised by Mathurin Massias and Quentin Bertrand, with lectures by Julie Delon, Rémi Emonet, Hugo Cui, Ségolène Martin, Titouan Vayer and Kimia Nadjahi.
Projects
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2022 - 2023 
Turing Seminar (EffiSciences)
ENS Paris-Saclay, France - Think tank on AI development and safety; study of state-of-the-art methods in text, vision and reinforcement learning.
Skills
| Languages | French (native), English (C1, Cambridge Advanced), Spanish (B2) |
| Programming | Python (PyTorch, JAX, Haiku, TensorFlow), C++, C#, Java, R, LaTeX |