I am a researcher atInria, member of theVALDA project-team, which is a joint team betweenInria Paris,École Normale Supérieure, andCNRS.

Before that, I was a Postdoctoral researcher at Ecole Normale Supérieure (ENS) Paris Saclay (Centre Borelli) in the team ofProf. Laurent Oudre. I completed my Ph.D. at the University of Paris and EDF R&D, working withProf. Themis Palpanas, Emmanuel Remy, and Mohammed Meftah. During my Ph.D., I did an internship at the University of Chicago under the supervision ofProf. Michael J. Franklin andProf. John Paparrizos. Before starting my Ph.D., I worked as a research engineer at the computer science lab of Ecole Polytechnique inProf. 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.

You may find more info onmy personal website

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1. TheseusTheseusPublic

   [VLDB 2022] Dash application for "Navigating the Labyrinth of Time Series Anomaly Detection"

   Python 23 2

2. MSADMSADPublic

   [VLDB 2023] Model Selection for Anomaly Detection in Time Series

   Jupyter Notebook 32 6

3. TheDatumOrg/TSB-UADTheDatumOrg/TSB-UADPublic

   An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection

   Jupyter Notebook 178 56

4. TheDatumOrg/VUSTheDatumOrg/VUSPublic

   Jupyter Notebook 71 41

5. adrienpetralia/ApplianceDetectionBenchmarkadrienpetralia/ApplianceDetectionBenchmarkPublic

   [ACM e-Energy23] Appliance Detection Using Very Low Frequency Smart Meters Time Series

   Python 17 1

6. kGraphkGraphPublic

   Graph Embedding for Interpretable Time Series Clustering

   Python 25 1