Matteo GRAZIOSO
- Qualifica
- Dottorando
- Dottorato
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INFORMATICA
41° Ciclo - Immatricolati nel 2025
- Area tematica
- Interpretable and Fairness-preserving AI for High-Risk Applications
- Supervisore
- Marco Salvatore Nobile, Daniela Besozzi (Università degli Studi di Milano-Bicocca)
- Sito web
-
www.unive.it/persone/matteo.grazioso (scheda personale)
- Struttura
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Dipartimento di Scienze Ambientali, Informatica e Statistica
Sito web struttura: https://www.unive.it/dais
Matteo Grazioso graduated summa cum laude and is currently a Ph.D. Student in Computer Science at Ca’ Foscari University of Venice, Italy. His research activity lies at the intersection of Artificial Intelligence (AI), Data Science, AI Ethics, and High-Performance Computing (HPC), with a particular focus on their application to medicine and healthcare.
Matteo’s academic and professional journey has been characterized by a continuous commitment to technological innovation and interdisciplinary research. He obtained his Master’s Degree in Artificial Intelligence and Data Engineering at Ca’ Foscari University of Venice, where he developed a strong foundation in machine learning, data-driven modeling, and computational methods for complex systems. During his Master’s studies, he also held the position of Research Grant Holder at the same institution, contributing to projects involving the integration of AI and HPC for scientific research.
In parallel, Matteo serves as a Technological Associate at the National Institute of Nuclear Physics (INFN), Milano Bicocca Division, where he collaborates on computational projects requiring advanced data analysis and large-scale computing. His experience in both academic and applied research environments has fostered a multidisciplinary approach, combining theoretical rigor with practical implementation.
Matteo’s overarching research goal is to harness the power of AI and computational intelligence to address real-world challenges and contribute to the advancement of data-driven healthcare technologies. Through national and international collaborations, he strives to promote the integration of innovative computational methodologies into research and clinical practice, advancing the role of AI for societal benefit.
For further information, please visit his personal website at matteograzioso.com or connect via LinkedIn.
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