CV
Magali Parrino
Summary
Ph.D. Candidate at EDF R&D and Inria in Computer Science.
Education
- Master’s Degree2024ISAE-SUPAEROCourses: Major: Data Science and Decision Science, Minor: Energy, Transport, and Environment
- Prep School2020Janson de SaillyCourses: Advanced Mathematics, Physics and Chemistry
Work Experience
- Ph.D. Student in Computer Science2025-07 - PresentEDF R&D (PRISME); Inria, ENS, PSL (Valda Team)Unsupervised Anomaly Detection in Multivariate Streaming Time Series - co-supervised by Emmanuel Remy, Antoine Ajenjo and Pierre Stephan at EDF, and by Paul Boniol and Pierre Senellart at Inria.
- Research Internship2024-04 - 2024-09Toulouse Métropole (DCTE)Optimization of Urban Heat Island (UHI) modeling using a network of weather stations: Analysis and processing of time series from weather stations. Literature review followed by implementation of solutions to model Toulouse’s UHI.
- Engineer Internship2022-03 - 2022-07Airbus SAS (IDMR)Modeling of complex systems. Analysis of factors influencing energy, economic, and climate trends.
Publications
- In a Streaming World, Should You Stand Still? A Comprehensive Benchmark of Anomaly Detection in Streams2026KDDMagali Parrino, Antoine Ajenjo, Emmanuel Remy, Pierre Stephan, Pierre Senellart, and Paul Boniol. Accepted, to appear.
- Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability2026Under reviewRoberto Stanzione, Jules Barbe, Magali Parrino, Jeremie Fourmann, Paul Boniol.
- What Streaming Anomaly Detection Finds (and Misses) in Industrial Time Series2026ECML PKDDMagali Parrino, Antoine Ajenjo, Emmanuel Remy, Pierre Stephan, and Paul Boniol. Accepted, to appear.
Teaching
- The Art of Computer Programming2026PSL University, International Bachelor of Science in AIRole: Teaching Assistant