CV

Postdoctoral Researcher

CFM ML Lab

• Working with Eric Vanden-Eijnden on fundamental principles and applications of generative models and sampling methods.

Research Scientist Intern

Jasper AI

• Affiliated to the Clipdrop team (previously part of Stability AI).
• Worked on fast diffusion-based super-resolution.

Graduate Research Assistant

Center for Data Science, ENS Ulm

• Under the supervision of Valentin de Bortoli.
• Worked on sampling algorithms for constrained spaces with self-concordant barriers.

Graduate Research Assistant

CMAP, École Polytechnique & INRIA Lille

• Under the supervision of Aymeric Dieuleveut and Aurélien Bellet.
• Worked on federated learning comprising concerns about privacy and data heterogeneity.

Data Scientist Intern

Deepki

• Worked with the R&D team on improving data completeness in the collection and use of energy consumption invoices (scraping & parsing).

PhD in Machine Learning

CMAP, École Polytechnique

• Under the supervision of Alain Durmus.
• Sampling and Transport with Score-based Diffusion models : Opportunities and Methodological Advances.
• 9 papers: 1 COLT paper, 1 ICLR workshop paper, 1 ICLR paper, 1 ICML paper, 2 NeurIPS papers, 1 TMLR paper, 2 preprints.

M.Res. in Mathematics, Vision and Learning ("MVA")

École Normale Supérieure (ENS), Paris-Saclay

• Distinctions with jury’s congratulations.
• Generative modeling, Bayesian Machine Learning, Computational statistics, Optimal Transport, Probabilistic Graphical models.

M.Sc. in Applied Mathematics ("Ingénieur Polytechnicien")

École Polytechnique

• GPA 3.93/4, top 10% of all students.
• Statistics, Optimization, Advanced Machine learning, Statistical modeling, Monte Carlo simulations, Stochastic calculus.

Awarded a selective PhD scholarship by Ecole Polytechnique.

Awarded the Ecole Polytechnique Research Centre Prize in Applied Mathematics.