CV

Education

2023-2026 (expected): Ph.D in Computer Science, Université Paris Dauphine-PSL,
- Topic: Learning context invariant representations for EEG data
- Supervisors: Florian Yger, Sylvain Chevallier and Fabien Lotte
2022-2023: Master Year 2 MVA, ENS Paris-Saclay, France
- Master focused on the mathematical aspects of data science, numerical data acquisition, processing and automatic interpretation.
- Courses: Reinforcement Learning, Object recognition and computer vision, Topological data analysis, Computational optimal transport, Computational statistics, Kernel methods for machine learning, Machine learning for time series.
2021-2022: Master Year 2 Training for higher education (Formation pour l’enseignement supérieur), ENS Paris-Saclay, France
- Competitive mathematics examination for civil service in the French public education system. Agrégation de Mathématiques. Rank : 82/338.
- Courses: Abstract Algebra, Linear Algebra, Field theory, Geometry, Topology, Functional analysis, ODEs, Real and Complex analysis, Probabilities.
2019-2023: Master of Science in Engineering (Diplôme d’Ingenieur) ENSTA Paris, France
- ENSTA Paris is amongst the top 10 Engineering Schools in France. Major in applied mathematics.
- Courses: Statistical learning, Markov Chains, Differentiable optimization, Linear programming, Optimal control, Stochastic calculus, Functional Analysis.

April-October 2023:
- LAMSADE at Université Paris Dauphine-PSL
- Goal: Matching trajectories of covariance matrices on a non-Euclidean manifold with applications to EEGs.
- Supervisors: Florian Yger, Sylvain Chevallier and Fabien Lotte
- Awarded Best Internship of 2023 by the ENSTA Paris Alumni
May-August 2021:
- DataShape team at Inria Sophia-Antipolis
- Goal: Build a neural network that is able to predict persistence images given a point cloud.
- Supervisor: Mathieu Carrière