About me

Since 2024, I have been working as a Data & AI scientist at Kaukana Ventures.

From November 2020 to November 2023, I was a PhD student in applied mathematics at LPSM, Université Paris Cité (Paris 7) under the supervision of Stéphane Gaïffas and Emmanuel Bacry.

I defended my PhD thesis titled “Robust Algorithms an Other Contributions to Machine Learning” on December 12th 2023. You can find the manuscript here and the slides here.

Publications

• Language very rare for all. Published in the Proceedings of the First Workshop on Language Models for Low-Resource Languages. Joint work with A. Wolf, Z. Mazzawi and Y. Léo.

• Convergence and concentration properties of constant step-size SGD through Markov chains. Preprint. Joint work with S. Gaïffas. arXiv

• Robust Stochastic Optimization via Gradient Quantile Clipping. Preprint. Joint work with S. Gaïffas. arXiv

• WildWood: a new Random Forest algorithm. Published in the IEEE Transactions on Information theory. Joint work with S. Gaïffas, Y. Yu. arXiv. Python implementation available on github.

• Robust supervised learning with coordinate gradient descent. Accepted for publication in Springer’s Statistics \& Computing journal. Joint work with S. Gaïffas. Accepted version. Python implementation available on github.

• Robust methods for high-dimensional linear learning. Published in the Journal of machine learning research. Joint work with S. Gaïffas. arXiv. Python implementation available on github.

• About contrastive unsupervised representation learning for classification and its convergence. Preprint. Joint work with Yiyang Yu, Stéphane Gaïffas and Emmanuel Bacry. arXiv