Profile picture of Calogero Jerik Scozzaro

PhD Student · University of Turin

Calogero Jerik Scozzaro

I study how eye-tracking signals and language models can jointly reveal reading difficulty and cognitive markers, with a focus on readability, text simplification, and dementia-related linguistic patterns.

Last updated: February 8, 2026

Research Interests

My research focuses on the intersection of eye-tracking and natural language processing (NLP), with particular emphasis on employing eye movement data to evaluate text readability and support automatic text simplification. A complementary line of work explores the application of a paired perplexity strategy using small-scale language models to identify linguistic markers of cognitive decline, particularly for categorizing dementia and Alzheimer’s disease patients.

Career & Collaborations

Education and academic partnerships.

Education

  • Nov 2024 – Present Ph.D. in Computer Science Department of Computer Science, University of Turin, Italy
  • Sep 2021 – Jul 2024 M.Sc. in Artificial Intelligence University of Turin, Italy · Grade: 109/110
  • Sep 2018 – Nov 2021 B.Sc. in Computer Science University of Turin, Italy · Grade: 110/110 with honors

Academic Collaborations

  • September 2025 Teaching Support Collaboration "How Do We Read? Text Analysis and Reading Strategies Using Eye Tracking and Language Models" · University of Turin, Italy
  • May 2024 – Oct 2024 Research Fellowship "Accessibility of Legal Texts as an Inclusion Device: Case Studies and Tools in Valle d'Aosta (Part II)" · University of Turin & University of Aosta Valley
  • Oct 2023 – Dec 2023 Research Fellowship "Accessibility of Legal Texts as an Inclusion Device: Case Studies and Tools in Valle d'Aosta (Part I)" · University of Turin & University of Aosta Valley

Publications

Selected work and recent papers.

Awards

Highlights and recognitions.

Best paper presented by a young researcher

"Violence Detection from Emergency Room Reports" · IEEE MetroXRAINE 2025