Ph.D. Candidate in Digital Innovation and e-Health at the University of Bari "Aldo Moro", Italy.
I work on trustworthy and interpretable artificial intelligence for healthcare, with a particular focus on Graph Neural Networks, Explainable AI, medical imaging and neuroimaging, and multimodal learning.
My research explores AI methodologies for clinically relevant problems, including brain tumor segmentation, early Alzheimer's disease diagnosis, and speech-based modeling of mental health states. I am particularly interested in developing models that combine predictive performance with transparent and clinically meaningful explanations.
My research background is complemented by more than ten years of professional software engineering experience.
- Artificial Intelligence for Healthcare
- Graph Neural Networks
- Explainable AI
- Medical Imaging & Neuroimaging
- Multimodal Learning
- Biomedical Data Analysis
- Clinical Decision Support
Explainable AI framework for brain MRI analysis combining semantic segmentation, anatomical mapping, and large language models to generate human-readable explanations of model predictions.