About#
I am a Research Engineer in Natural Language Processing at EDF R&D , where my work covers the following areas:
- Scientific monitoring. I follow the state of the art in NLP through the literature, seminars and peer review for the main conferences of the field.
- Applied research and prototyping. I design and develop proofs of concept to assess the maturity of emerging methods and their relevance to EDF’s operational needs.
- Technology benchmarking. I build evaluation protocols on internal data to support EDF business units in selecting commercial or open-source solutions.
- Generative AI expertise. I contribute to EDF’s internal generative AI community through tool development, workshops, training sessions and technical support.
- Research supervision. I supervise PhD students and interns, primarily on encoder models and Retrieval-Augmented Generation (RAG), and more recently on synthetic data generation.
Professional Experience#
| Period | Position |
|---|
| Since June 2024 | Research Engineer — EDF R&D, SEQUOIA department, Palaiseau, France |
| Jan. 2019 – May 2024 | Research Engineer — CEA LIST, SIALV laboratory, Palaiseau, France |
| Sept. 2018 – Dec. 2018 | Temporary Lecturer and Researcher (ATER) — IUT d’Orsay, Université Paris-Saclay, France |
Education#
| Period | Degree |
|---|
| 2015 – 2018 | PhD in Computer Science — Université Paris-Saclay, LIMSI-CNRS, Orsay, France |
| 2014 – 2015 | MSc in Natural Language Processing (Research & Development track) — Université Paris-Nanterre, France |
Doctoral thesis: Extracting Clinical Event Timelines: Temporal Information Extraction and Coreference Resolution in Electronic Health Records.
Supervised by Xavier Tannier (director), Aurélie Névéol and Olivier Ferret (co-supervisors).
Examination committee: Philippe Muller (reviewer), Matthieu Roche (reviewer), Claire Nédellec, Sandra Bringay and Guergana Savova.
Supervision#
PhD Students#
Postdoctoral Researchers#
| Period | Name | Research topics |
|---|
| 2023 – 2024 | Hugo Boulanger | Synthetic medical text generation |
Interns#
| Year | Name | Research topics |
|---|
| 2026 | Simon Legris | Representation learning for tabular data |
| 2026 | Mohamed Amine Grini | Synthetic data generation for information retrieval in complex industrial documents |
| 2025 | Khadija Abattane | Knowledge graph extraction, Retrieval-Augmented Generation |
| 2023 | Rida Lali | Event extraction, knowledge injection |
| 2022 | Babacar Sow | Text classification |
| 2021 | Salma Salhi | Event extraction |