CV

Education

• 2022-2025 (expected): Ph.D in Statistics, Statistical inference on dependent data, Université Paris-Saclay.
• 2021-2022: Master 2 Mathematics of randomness, Probability & Statistics track, Université Paris-Saclay.
• 2018-2022: Diplôme d’ingénieur, Applied mathematics & Computer science, CentraleSupélec.

A detailed resume can be found here.

Publications

On the impossibility of detecting a late change-point in the preferential attachment random graph model

Model-based clustering using nonparametric hidden Markov models

Talks

Talk at 55èmes Journées de Statistique

May 27, 2024

Conference at Université de Bordeaux, France

Talk at SuPerGRandMa seminar

February 05, 2024

Seminar at Laboratoire de Mathématiques d'Orsay, France

Clustering of nonparametric Hidden Markov Models

September 18, 2023

Conference at Villa Clythia, Fréjus, France

Talk at the conference: Markovian & Semi-Markovian processes and their applications

June 05, 2023

Talk at IMAG lab, Montpellier, France

Talk at ASCAI 2nd Workshop

February 28, 2023

Workshop at Technical University of Munich, Germany

Clustering of parametric Hidden Markov Models

September 01, 2022

Poster at Ecole Polytechnique, Palaiseau, France

Teaching

Teaching Assistant

Organizer of the master students’ seminar

Teaching Assistant