Welcome to my academic website.
Research
My research explores how readers process complex written information and how reading difficulty can be objectively measured. I combine eye-tracking experiments with computational modeling to investigate cognitive effort during reading and to identify passages that hinder comprehension.
A central focus of my work is medical and clinical communication, where textual complexity can directly affect understanding. By linking linguistic features with eye-movement data, I aim to develop automatic methods for detecting difficult content and supporting accessible text design.
I also developed the FETA Corpus (French Eye-Tracking Corpus), a French eye-tracking corpus designed to study reading behaviour across text types, text complexity, reader expertise, and text simplification.
The corpus is available here: FETA Corpus: French Eye-Tracking Corpus
Current Directions
- Modeling eye-tracking behaviour using transformer-based language models
- Detecting difficult passages in medical texts
- Studying how simplification strategies affect reading behaviour
- Building annotated eye-tracking corpora for French
News
11–12 February 2026 — I presented my work at the 2ème Symposium en Santé Mentale et Intelligence Artificielle, an international conference held at Université de Caen Normandie.
February 2026 — 🎉 My paper Comparing Reading Behavior across Reader Expertise and Text Complexity: Insights from the French Eye-Tracking Corpus (FETA) was accepted to LREC-COLING 2026, which will take place in Palma de Mallorca, Spain, 11–16 May 2026.
March 2026 — 🎉 My paper Predicting Eye-Tracking Metrics in French Texts with Language Models was accepted to the ETRA 2026 Short Papers track of the ACM Symposium on Eye Tracking Research & Applications, to be held in Marrakech, Morocco, 1–4 June 2026.