Curriculum Vitae

PhD in Computer Science, Thoth, Inria Grenoble

Thesis: Foundation models for inverse problems in scientific imaging, supervised by Julien Mairal and Michael Arbel. Funded by an AMX doctoral fellowship (École Polytechnique).

MSc in Artificial Intelligence, Systems, Data (IASD), PSL University, Paris

Coursework: large language models, image analysis, reinforcement learning, mathematics of machine learning, optimization for machine learning, optimal transport, data acquisition.

MSc in Applied Mathematics (Cycle ingénieur), École Polytechnique, Palaiseau

Classe préparatoire MPSI, MP*, Lycée Fénelon, Paris

Research intern, Thoth, Inria Grenoble

Master's thesis supervised by Julien Mairal and Michael Arbel on the MMSE/MAP mismatch in Plug-and-Play restoration; the work continued into my PhD and the NeurIPS 2026 paper.

Research intern, Okinawa Institute of Science and Technology, Japan

Multimodal generative models for text-to-3D-motion generation, supervised by Makoto Yamada.

Air Force Officer, ET 4/61 Béarn, Orléans

Planned and monitored transport missions of the French Air Force.

Volunteer teacher, Co-FormER programme, Université Grenoble Alpes

Teaching assistant, Lycée Fénelon, Paris

Applying machine learning to weather forecasting, École Polytechnique

Compared classification models (logistic regression, random forests, XGBoost, LSTMs, CNNs) for rainfall prediction, supervised by Julien Chiquet.

French (native), English (fluent, TOEFL 112/120), Japanese (fluent, JLPT N2), Spanish (intermediate)

Python (PyTorch, TensorFlow, CUDA, NumPy/SciPy), Java, C++, SQL, Git, LaTeX, HPC/SLURM clusters