Education
PhD in Statistics
Discovering and testing group structure beyond multivariate dataOct. 2023–Dec. 2026
Discovering and testing group structure beyond multivariate dataOct. 2023–Dec. 2026
- Supervised by Anne M. Ruiz and Christine Thomas-Agnan
- 2-month research project at VIASM (Vietnam)
- Courses attended: Bayes Spaces / Robust Multivariate Location and Scatter Estimators / Functional Data Analysis
- Journées d'Étude en Statistique (JES) on Functional Data Analysis (2024) and Neural Networks (2026)
- Participation to a working group on Conformal Prediction
ENS Diploma in Pure Mathematics2019–2024
- Courses attended: Galois Theory / Dynamical Systems / Statistics / Statistical Machine Learning / Transport Equations / Sensitivity Analysis / Hawkes Processes
- Research internship at Toulouse School of Economics on Outlier Detection Using ICS for Compositional Data, supervised by Anne M. Ruiz
- Minor in Economics: Econometrics / Theories of Economic Growth / Economics & Public Policy / International Monetary Economics
- Bibliography project on Optimal Transport and its Application in Machine Learning, with Julien Malka, supervised by Claire Boyer
- Bachelor in Pure Mathematics: Algebra / Topology, Analysis, Differential Calculus / Probability & Measure / Complex Analysis
Master 2 in Mathematics of Randomness (StatML)2022–2023
- Research internship at AgroParisTech on Poisson Log-Normal Estimation with Dependency between Sites, supervised by Julien Chiquet and Mahendra Mariadassou
- Courses attended: Statistical Learning & Resampling / Concentration of Measure / Model Selection / High-Dimensional Probability & Statistics / Nonparametric Estimation / Random Matrices / Advanced Statistics
Preparatory Classes for Grandes Écoles (MPSI/MP*)2016–2019
General Baccalaureate (Science)2016
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