About

Change-Point Paris-Saclay conference (January 2023)

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

Procceedings of the conference to be published with ESAIM
Articles are available in Open Review

Responsabilities

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

Head of the Master 2 since September 2022.

Co-director with Agathe Guilloux (2020-2022)

2) Séminaire scientifique Math For genomics

I am the initiator and one of the co-organizers of the Evry stat-math seminar MathForGenomics

3) Student supervision

PhD student: Liudmila Pishchagina (working on multivariate extensions of FPOP algorithm) 2021-2024 (Co-director with Guillem Rigaill)
supervised about 10 internships (level L2 to M2) on change-point detection problems or problems related to genomics (Wright-Fisher model)

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, Lasso regularization, Logistic regression.

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

Analysis : PDE, Control theory, Complex analysis, Univalent polynomials.

Mathematical Physics : Fluid dynamics, Hele-Shaw problem, Numerical analysis.

In particular, problems involving optimization are among my favorites. They are close to application and the guidline principle of my research.