Student supervision

• PhD student: Liudmila Pishchagina / Shabarshova: multivariate extensions of change point detection algorithms in online (MdFOCuS) and offline settings(FeomFPOP) 2021-2024 (Co-direction with Guillem Rigaill)

• Engineer (2024-2025): Nicolas Cecchi (with Charles Truong and Nicolas Oudre)

• internships: 2024: Simon Querné (M2). 2023: Olha Pomomarenko (L3). 2022: Antonina Bondarchuk (L3), Marko Kachaikin (L2), Kader HOUSSEIN (L2) 2021: Liudmila Pishchagina (M2), Saâd Qriouet (M1), Pauline Spinga (L3). 2020: Nicolas Deschamps de Boishebert (M1). Jawad Boulafha (M1). 2018: Alexandre Schulz (M1)

Change-Point Paris-Saclay conference (January 2023)

Co-organizer with Charles Truong

The Paris-Saclay Change-Point workshop is a 2-day meeting (January 16th and 17th 2023) dedicated to theoretical and applied methods for solving change-point detection problems. The primary goal of the workshop consists in fostering new interactions within the European community of change-point researchers. This event is free of charge (no registration fee) and open to anyone willing to contribute to the development of the field (M2 students, PhD, young and senior researchers).

Website of the Paris-Saclay Changepoint Workshop

Past Responsabilities

1) Paris-Saclay M2 “Data Science: health insurance and finance” More information here

Head of the Master 2 (2022-2023) Co-direction with Agathe Guilloux (2020-2022)

2) Séminaire scientifique Math For genomics

Co-organizers of the Evry stat-math seminar MathForGenomics

Recent presentations to conferences and workshops

• 2022 December (Brighton, UK) StateScale meeting
• 2022 July (London, UK) IMS
• 2021 March (Northern Arizona Univeristy. USA). Research seminar online
• 2020 Septebmer (Paris) Séminaire de Statistiques MAP5
• 2019 December (London, UK) CMStatistics
• 2019 November (Paris) Paris-Lancaster change-points workshop

Current work

Assistant Professor in statistics since September 2019 at the University of Evry (near Paris) in the laboratory LaMME. My current research is about changepoint detection using pruned dynamic programming algorithm with a focus on the multivariate framework and application to genomics.

As an Applied Mathematician, I like to work at the interface of different fields. My current and past interests are

Statistics : Change-point detection (by dynamic programming)

Optimization : Convex optimization, Computational geometry, Quadratic and linear programming.

Numercial analysis : Quasi-Newton algorithm

Package development : gfpop, dust (see github)

In particular, problems involving optimization tools are among my favorites..