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boniolp/README.md

Hi there, I'm Paul Boniol 👋

I am a researcher at Inria and a member of the VALDA project team, a joint team between Inria Paris, École Normale Supérieure, and CNRS. Since September 2026, I have been a Joint Faculty Professor (Professeur Attaché) at École Normale Supérieure and Paris Sciences & Lettres University (PSL).

Before that, I was a Postdoctoral researcher at École Normale Supérieure (ENS) Paris-Saclay (Center 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 École Polytechnique in Prof. Michalis Vazirgiannis's team.

My research interests lie 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 on my personal website

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  1. Theseus Theseus Public

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

    Python 24 3

  2. MSAD MSAD Public

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

    Jupyter Notebook 47 10

  3. thedatumorg/TSB-UAD thedatumorg/TSB-UAD Public

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

    Jupyter Notebook 221 61

  4. thedatumorg/VUS thedatumorg/VUS Public

    Volume Under the Surface: Accuracy Measure for Time Series Anomaly Detection

    Jupyter Notebook 97 43

  5. adrienpetralia/ApplianceDetectionBenchmark adrienpetralia/ApplianceDetectionBenchmark Public

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

    Python 20 1

  6. kGraph kGraph Public

    Graph Embedding for Interpretable Time Series Clustering

    Python 46 1