Professional Experience#
Hornetsecurity & Inria Lille#
PhD Student | September 2023 - Present
- Conducting research on language model fine-tuning, evaluation, and utility-preserving text anonymization techniques
Hornetsecurity#
Research Scientist | September 2022 - Present
- Applied research in Machine Learning and Cybersecurity
- Developing cutting-edge solutions to enhance threat detection capabilities
Vade (Acquired by Hornetsecurity)#
AI Research Intern | March 2022 - September 2022
- Designed and implemented Deep Learning models for advanced phishing detection
- Contributed to core security algorithms that improved detection accuracy
CRIStAL (Algomus) & Inria (Magnet)#
Research Intern | April 2021 - August 2021
- Worked at the intersection of Natural Language Processing and Music Information Retrieval
- Developed explainability approaches for music analysis using NLP techniques
Education#
Msc. in Data Science#
Centrale Lille, University of Lille, IMT Nord Europe | 2022 | High Honors
Bsc. in Computer Science#
Polytechnic University of Hauts-de-France | 2020 | High Honors