Organization of recent conferences

1. Recent conferences and workshop

Topological Data Analysis Working Group (May-June 2025)

co-organized with:

1. Topology for data analysis. Homology groups and Simplicial complexes (15 May. 2pm – 4pm)

2. TDA toolbox. Euler Curve, Persistance diagram, bar codes (22 May. 2pm – 4pm)

3. Theoretical fundaments of TDA. Convergence and stability (29 May. 2pm – 4pm)

4. TDA applications to statistics and machine learning. (5 June. 2pm – 4pm)

5. Computational challenges in TDA. (12 June. 2pm – 4pm)

6. Research seminar (TBA). (19 June. 2pm – 4pm)

Bibliography: Computational topology: an introduction. Edelsbrunner Herbert and Harer John L American Mathematical Society. 2022

An introduction to topological data analysis: fundamental and practical aspects for data scientists. Chazal, Frédéric and Michel Bertrand Frontiers in artificial intelligence. 2021

Euler characteristic tools for topological data analysis. Hacquard Olympio and Lebovici Vadim Journal of Machine Learning Research. 2024

Topological data analysis. Wasserman Larry Annual Review of Statistics and Its Application 2018

A universal null-distribution for topological data analysis. Bobrowski Omer and Skraba Primoz Scientific Reports. Nature Publishing Group UK London 2023

Ukrainian Math Day in Evry Paris-Saclay

“Ukrainian Math Day in Évry Paris-Saclay #1” is a special event where Ukrainian mathematicians share their ongoing research in mathematics with a diverse audience.

Hosted at the University of Évry Paris-Saclay, this event brings together mathematicians, researchers, and students — from undergraduate to PhD level — to explore topics in pure and applied mathematics.

Through insightful lectures, engaging discussions, and valuable networking opportunities, the event seeks to promote knowledge exchange and support the Ukrainian mathematical community, which has been dispersed across Europe and beyond due to the ongoing war.

website of the conference day

Impact IA for master student

Cet événement est conçu pour échanger “au delà des mathématiques” sur les conséquences écologiques, économiques, éthiques ou juridiques de l’utilisation des modèles d’IA.

Co-financée par la FMJH et DATAIA, la journée ImpAct s’adresse en priorité aux étudiants de master de Paris-Saclay, plus particulièrement aux étudiants en mathématiques (Data Science, IA…). Un public plus large est bienvenu dans la limite des places disponibles.

website of the conference

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

2. Student supervision

3. 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

4. Presentations to conferences and workshops

5. Current job

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..