Matteo Grazioso is a Ph.D. Student in Computer Science at Ca’ Foscari University of Venice (Department of Environmental Sciences, Informatics and Statistics). His primary research focuses on Interpretable and Fairness-Preserving AI for high-risk applications, exploring the design of trustworthy AI systems to ensure that machine learning models in high-stakes domains are transparent, reliable, and ethically aligned.

His research interests span Computational Intelligence, Machine Learning, Interpretable AI, High-Performance Computing, Evolutionary Drug Discovery, and Optimization Algorithms. Matteo holds a Master’s Degree in Computer Science – Artificial Intelligence and Data Engineering, graduating summa cum laude from Ca’ Foscari University of Venice, where he also contributed as a Research Grant Holder.

Alongside his doctoral studies, Matteo is a Scientific Associate at the Italian National Institute of Nuclear Physics (INFN), Milano Bicocca Division, and a Visiting Ph.D. Student at the University of Milano-Bicocca (Department of Informatics, Systems and Communication). He is an active member of the IEEE and the IEEE Computational Intelligence Society (CIS), contributing to the CIS Task Force on Advanced Representation in Biological and Medical Search and Optimization.

Matteo’s overarching goal is to advance the development of trustworthy, interpretable, and ethically aligned AI systems, particularly in domains where AI’s societal impact is significant, such as healthcare and biomedical research.