I am a third year PhD student at Université Paris-Saclay working under the supervision of Elisabeth Gassiat and Zacharie Naulet at Laboratoire de Mathématiques d’Orsay. I have been working on topics related to inference on dependent data, mainly Hidden Markov Models and preferential attachement random graphs. More precisely, I seek to understand the problem of clustering when the observations come from a (nonparametric) Hidden Markov Model and how it differs from the usual i.i.d. case , and on the other hand, I study the fundamental limits of detection and localization of change-points in preferential attachment random graphs.

Main Research Interests

HMMs, random graphs, nonparametric and high dimensional statistics, statistical learning theory, sequential learning, deep learning,…