About me
Right now I am a visiting professor at École Centrale de Pékin, in China, where I teach analysis and probability in French to Chinese students.
Before that I was the first employee and R&D Lead at Ida, a French AI startup that optimizes fresh food orders for retailers. I built its whole R&D pipeline from scratch, and Ida was bought by RELEX Solutions in 2025.
On the side I run HSK Level and Chinese Grammar Gems, a platform and newsletter for learning Chinese that together reach more than 25,000 people around the world.
I did my PhD in applied mathematics and machine learning at Institut Polytechnique de Paris, working on algorithmic optimal transport with Marco Cuturi as my advisor.
Education
- PhD from Institut Polytechnique de Paris
- Engineering degree from Ecole Polytechnique
- Engineering degree from ENSAE Paris
- Master's degree in Statistics and Machine Learning from Université Paris-Sud
Featured demo · Subspace Robust Wasserstein
A live taste of my research: Subspace Robust Wasserstein Distances (Paty & Cuturi, ICML 2019). Optimal transport measures the effort to morph one point cloud, \(\mu\), into another, \(\nu\); this demo finds the single line (yellow) along which the two clouds are hardest to align. Drag either cloud to move it around.
News
- December 2025: Ida was acquired by RELEX Solutions.
- September 2025: I joined École Centrale de Pékin as a visiting mathematics professor.
- December 11, 2024: I gave a course on operations research at the Ecole Nationale des Ponts et Chaussées.
- October 2, 2023: I joined Ida as a research scientist.
Older events
- June 27, 2022: I gave a talk in the New Monge Problems seminar at the Université Gustave Eiffel near Paris.
- May 11, 2022: I gave a talk (slides in .pdf) at the Mokaplan team seminar at INRIA in Paris.
- October 21–22, 2021: I participated in the Paris workshop on optimal transport with applications to economics and statistics at Sciences Po Paris.
- June 29, 2021: I defended my PhD thesis (slides in pdf and the manuscript) at ENSAE Paris.
- March 31, 2021: I gave a talk at the EDMH PhD students seminar (video in French).
- March 4, 2021: I gave a talk at the Image, Optimization and Probability seminar at the Institut de Mathématiques de Bordeaux.
- August 28, 2020: We received a Notable Paper Award at AISTATS 2020 for our paper "Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport".
- August 26–28, 2020: I presented our paper "Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport" at AISTATS 2020.
- July 12–18, 2020: I presented our paper "Regularized Optimal Transport is Ground Cost Adversarial" at ICML 2020.
- January 17, 2020: I gave a talk (slides) at the seminar day Learning meets Astrophysics at CEA in Saclay, France.
- December 08–14, 2019: I presented our paper Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials at NeurIPS Optimal Transport and Machine Learning Workshop in Vancouver, Canada.
- November 20, 2019: I gave an introductory lecture on optimal transport at the seminar Stat·Eco·ML in Palaiseau, France.
- November 05, 2019: I gave a talk (slides) at Le Séminaire Palaisien in Palaiseau, France.
- August 26–31, 2019: I participated in, and gave a tutorial (notebooks, video) at Machine Learning Summer School in Moscow, Russian Federation.
- July 07–19, 2019: I participated in, gave a talk (.pdf) and presented a poster (.pdf), in Saint-Flour Probability Summer School in Saint-Flour, France.
- June 24–28, 2019: I participated in the workshop People in Optimal Transportation and Applications in Cortona, Italy.
- June 09–15, 2019: I presented (poster and 20-minute oral) our paper "Subspace Robust Wasserstein Distances" at ICML 2019 in Long Beach, USA.
- March 25–29, 2019: I presented a poster (.pdf) at the workshop Optimization and Statistical Learning in Les Houches, France.
Introduction au transport optimal (en français)
Voici une introduction au transport optimal extraite d'un séminaire de vulgarisation que j'ai donné à destination des doctorants de l'École doctorale Hadamard en mars 2021.