Associate Professor (2024-present) at Sorbonne Université, member of RO team at LIP6
SRP Researcher (2023-2024) at MiMove team, Inria Paris
Topics: Feature engineering, machine learning, data and model interoperability, autoML
I was the principal contributor on behalf of Inria in the SEDIMARK European project
Postdoctoral Researcher (2021-2023) at MiMove team, Inria Paris
Topics: Machine learning for resource allocation in the Edge-Fog-Cloud architecture, autoML for data streams
Postdoctoral Researcher (2020-2021) at Data, Intelligence and Graphs (DIG) team, Télécom Paris
Topics: AutoML for anomaly detection, unsupervised anomaly detection for data streams
Ph.D. degree in computer science (2017-2020) from Télécom Paris - Institut Polytechnique de Paris in the DIG team, under the supervision of Albert Bifet and Silviu Maniu.
Topic: Improving IoT data stream analytics using summarization techniques
Jury: João Gama (President), Moamar Sayed-Mouchaweh (Reviewer), Maguelonne Teisseire (Reviewer), Cedric Gouy-Pailler (Examiner), Ons Jelassi (Examiner), Mauro Sozio (Examiner)
Master's degree from Polytech' Nantes (2015-2016)
Data mining and knowledge management
Master's degree from ISG Tunis (2014-2016)
Sciences and technologies of business intelligence
University of Porto, LIAAD - INESC TEC, Porto, Portugal (2020)
Visitor researcher under the supervision of João Gama
University of Waikato, Hamilton, New Zealand (2019)
Visitor researcher under the supervision of Bernhard Pfahringer
Conferences: IJCAI - 2025, 2023, 2022, 2021; AutoML 2025; PAKDD 2023; SAC - 2023, 2022, 2021; ECML PKDD 2022; DSAA 2021; Stream Reasoning Workshop 2021.
Journals: Machine Learning (MACH, Springer) - 2022, 2021, 2020; Evolutionary Intelligence (EVIN, Springer) 2021; Data Mining and Knowledge Discovery (DMKD) 2021.
Other: Reviewer for a CEFIPRA Indo-French project - 2023.