About Me
I am a PhD Researcher in the MLIA team at the ISIR lab (Sorbonne University), working under the supervision of François Yvon. My work bridges Artificial Intelligence and the social sciences. My primary research investigates the expression of bias in multilingual language models—specifically, how these biases vary across languages and how machine translation systems can introduce or amplify cultural distortions in subjective content, such as stance or opinion.
I am currently funded by Bpifrance as a member of the "AI For Democracy Democratic Commons" global research program. In this context, I study the application and impact of AI systems within democratic processes. Ultimately, my goal is to develop language technologies that preserve semantic and pragmatic invariance across languages, ensuring that AI is equitable, transparent, and culturally aware.
Research Interests
Publications
Preserving Nuance: The Limits of Best-of-N Sampling for Multi-Dimensional Pragmatic Invariance in Machine Translation
Toward Collective-Centric Evaluation of Preference Inference for Participatory Democracy
Data Shapes What, Scale Shapes How: Lexical Learning Dynamics in LLMs
Assessing the import of morphology in gender assignment: A computational study of French
Biases in Translation: Assessing Opinion Distortion in Machine Translated Texts
Beyond Surprisal: A Dual Metric Framework for Lexical Skill Acquisition in LLMs
Presentations & Posters
Biases in Translation: Assessing Opinion Distortion in Machine Translated Texts
Anti-surprise : Une métrique complémentaire pour évaluer l’apprentissage lexical des (grands) modèles de langue
Beyond Surprisal: A Dual Metric Framework for Lexical Skill Acquisition in LLMs
Assessing the import of morphology in gender assignment: A computational study of French
Experience
Research Intern
Laboratoire de Linguistique Formelle (LLF) · Paris, France
Supervision: Guillaume Wisniewski
Investigated the mechanisms by which neural language models (particularly BERT) acquire language abilities during pre-training. Extracted and analyzed learning curves from intermediate checkpoints to examine the progression of lexical and syntactic knowledge acquisition, revealing how token frequency and syntactic complexity influence learning dynamics.
Research Intern
Laboratoire de Linguistique Formelle (LLF) · Paris, France
Supervision: Olivier Bonami
Evaluated how major LLMs handle neology. Analyzed whether ChatGPT-3.5 could provide accurate definitions for neologisms coined after its training date, and conversely, whether it could coin accurate terms given the definition of these neologisms.
Academic Service
Co-organizer
1st Multidisciplinary Workshop on NLP for Democracies (MultiDems) · Athens, Greece
Co-located with the 20th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2027). Facilitating multidisciplinary research at the intersection of NLP, political science, and computational social choice to study language technologies across diverse democratic systems.
Workshop WebsiteEducation
PhD in Natural Language Processing
MSc in Computational Linguistics
BA in English Language and Literature
Training
ALPS Spring School
Mar – Apr 2026 · Aussois, France
International event dedicated to NLP, Speech Processing, and AI featuring collaborative research discussions with leading experts.
LxMLS Summer School
Jul 2025 · Lisbon, Portugal
Deepening of machine learning, deep learning, and NLP processes with hands-on coding labs at Instituto Superior Técnico.