Curriculum vitae

Work Experience

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1. PhD Student

   Sept. 2023 - Present

   Vade / Inria

   Privacy- and Utility-Preserving Transfer Learning for Text Anonymization
2. Research Scientist

   Sept. 2022 - Present

   Vade

   Applied Research on Machine Learning and Cybersecurity.
3. Research Intern

   Mar. 2022 - Sept. 2022

   Vade

   Deep Learning for Phishing detection
4. Research Intern

   Apr. 2021 - Aug. 2021

   CRIStAL (Algomus) & Inria (Magnet)

   Natural Language Processing and Music Information Retrieval

Education

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1. Msc. in Data Science

   2020-2022

   Centrale Lille, University of Lille, IMT Nord Europe

   Second year thesis: Analysis of activity traces on an online programming platform
   First year thesis: PictureToUML: Conversion of pictures to UML files
   High Honors
2. Bsc. in Computer Science

   2017-2020

   Polytechnic University of Hauts-de-France

   Final year project: Detection and filtering of offensive content in instant messaging using neural networks
   High Honors