Short bio

I am a researcher at Inria, member of the VALDA project-team, which is a joint team between Inria Paris, École Normale Supérieure, and CNRS.

Before that, I was a Postdoctoral researcher at Ecole Normale Supérieure (ENS) Paris Saclay (Centre Borelli) in the team of Prof. Laurent Oudre. I completed my Ph.D. at the University of Paris and EDF R&D, working with Prof. Themis Palpanas, Emmanuel Remy, and Mohammed Meftah. During my Ph.D., I did an internship at the University of Chicago under the supervision of Prof. Michael J. Franklin and Prof. John Paparrizos. Before that, I got my bachelor’s and master’s degrees in computer science and applied mathematics from Grenoble INP ENSIMAG engineering school. Finally, before starting my Ph.D., I worked as a research engineer at the computer science lab of Ecole Polytechnique in Prof. Michalis Vazirgiannis’s team.

My research interest lies in the intersections between:

Massive time series analytics and management systems.
Unsupervised and supervised anomaly detection methods for large time series.
Machine learning for time series analytics.

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News

[Oct. 2025] Thanks to the TwinODIS organizers for inviting me to give three lectures on time series anomaly detection. You may find the slides here.
[Aug. 2025] We have released an interactive taxonomy on time series anomaly detection. Explore it on GitHub or directly via the webpage
[May. 2025] Thanks to the SPACERAISE organizers for inviting me to give two lectures on Time Series Analytics. You may find the slides here.
[Jan. 2025] Thanks to the SIDOS workshop organizers for inviting me to give a talk on Time Series Anomaly Detection. You may find the slides here.
[Nov. 2024] Thanks to the ML4Jets 2024 organizers for inviting me to give a talk on Model selection and Time Series Anomaly Detection. You may find the slides here and a video here.
[Sep. 2024] Thanks to the AALTD 2024 organizers for inviting me to give a talk on Time Series Anomaly Detection. You may find the slides here.