Chairing at MEDICON 2026 on September 17
I have been invited to serve as Chair for the plenary session on September 17 at MEDICON 2026 in Siena.
Welcome
👋 Welcome to my website! I’m Luca, AI Research Scientist. I currently hold the role of Assistant Professor in the Intelligent Health Technology Lab at Università Campus Bio-Medico di Roma.
The broad scientific question guiding my work is how to design AI systems that are not only accurate but also interpretable, fairly evaluated, robust under domain-specific constraints, and able to integrate heterogeneous sources of information.
Here you can find information about me, my research, publications, projects, and recent activities. Want to get in touch? You can find my contact details on the left, or leave me anonymous feedback. 😁
Research Interests
NLP & Large Language Models
Explainable & Reliable AI
Biomedical & Multimodal AI
Data-efficient Learning
Experience
Università Campus Bio-Medico di Roma
09/2025 – present
Assistant Professor
Università Campus Bio-Medico di Roma
11/2022 – 08/2025
Postdoctoral Researcher
University of Groningen
01/2022 - 07/2022
Visiting PhD Student, Computational Linguistics
Università Campus Bio-Medico di Roma
11/2019 – 10/2022
PhD Candidate
Education
Università Campus Bio-Medico di Roma
2023
PhD in Information Technology for Biomedicine
Thesis:
Exploring New Technologies in Healthcare: Advancing Natural Language Processing
Università Campus Bio-Medico di Roma
2019
MSc in Biomedical Engineering — 110/110 cum laude
Thesis:
Development of a motion control system for an anthropomorphic manipulator based on online extraction of muscle synergies
Selected Publications
(2026).
Artificial intelligence based intervertebral discs grading: From unsupervised detection to explainable Pfirrmann classification.
Biomedical Signal Processing and Control.
(2025).
Cross-Lingual Distillation for Domain Knowledge Transfer with Sentence Transformers.
Knowledge-Based Systems.
(2025).
Efficient Multi-Task Learning with Instance Selection for Biomedical NLP.
Computers in Biology and Medicine.
(2024).
From Pre-training to Fine-tuning: an in-depth Analysis of Large Language Models in the Biomedical Domain.
Artificial Intelligence in Medicine.
(2023).
A Text Style Transfer System for Reducing the Physician-Patient Expertise Gap: an Analysis with Automatic and Human Evaluations.
Expert Systems With Applications.
News
Eight papers accepted at MEDICON 2026
Eight of our papers have been accepted at MEDICON 2026. See you in Siena from September 14 to 17!
AIME 2026 in Ottawa
Back from AIME 2026 in Ottawa, where two PhD students I have been mentoring since their MSc theses presented two of our papers.