I am a french PhD candidate in Computer Science and Mathematics at ENAC. I am interested in theoretical Machine Learning, and more generally in statistics, probability and geometry. I work on geometric Deep Learning and Robustness. I am also a musician and I hope that someday I will be able to apply my work in ML to music.
Download my resumeOctober 2022 - End 2025
Under the supervising of Nicolas Couellan, Rita Fioresi and Stéphane Puechmorel in the OPTIM research group. The title of my PhD thesis is Neural Network Robustness: a Riemannian Foliation Perspective.
01 March 2022 - 30 June 2022
A 4 months research internship under the supervising of Rita Fioresi on the subject Deep Learning: Riemannian and subriemannian structures on the space of models and data manifolds.
06 September 2021 - 28 January 2022
A 5 months research internship under the supervising of Nicolas Couellan and Stéphane Puechmorel in the OPTIM research group. I am working on Machine Learning and the geometry it induces on the data spaces. Especially, I am computing the foliations induced by the Fisher Information Metric and apply my findings to adversarial attacks.
Results: A preprint article available on the hal-enac archives.
29 March 2021 - 18 July 2020
A 4 months research internship under the supervising of Pierre-Yves Lagrave on the subject Solving Partial Differential Equations with Equivariant Neural Network.
Results: A conference paper and a talk for MaxENT2022 in IHP, Paris.
20 April 2020 - 17 July 2020
A 3 months research internship under the supervising of Pr. Mahito Sugiyama on the subject Machine Learning and Information Geometry: a link with Topological Data Analysis. This internship has been done remotly for the National Institute of Informatics of Tokyo because of the Covid-19 crisis.
September 2019 - March 2020
Projet Ens : Réaliser un Champion d'Épreuves Variées Avec de la Logique. This project is a General Game Player made by the Perceval team at ENSL, for the Integrated Project course. You can find more information about General Game Playing (GGP) here, and the webpage of the project here.
6 June 2019 - 13 July 2019
A 6 weeks research internship into DANTE team (IXXI, LIP, ENS de Lyon) on the subject Featured network embedding using GCN Variational Autoencoders, supervised by Márton Karsai and Sébastien Lérique.
2021-2022
Teacher for the 17h lecture on Measure theory for L3 students.
2018-2022
2021
Non Parametric Statistics, Statistical Physics, Concentration of measure in Probability and High-Dimensional Statistical Learning, Random Graphs, Determinantal Processes, Advanced Machine Learning Theory, Inverse Problems and High Dimension, Stochastic Calculus, Numerical Methods for Computer Graphics, Mathematical Fundations of Deep Neural Networks, Advanced Probability, Information Theory, Optimisation and Approximation, Cryptography and Security, Data Base Data Mining, Stochastic Processes, Statistics
2019
Algorithmics, Foundations of Computer Science, Programming Theory, Algebra, Logic, Probability.
2019
Integration and Measure Theory, Topology and Differential Equations, Groups and Geometry, Probability and Statistics, Matrix Analysis, Algebra and Geometry, Differential Calculus and Complex Analysis.
2016-2018
2016
English
C1 (CAE)
German
B1
