He has published several journal articles and conference proceedings. He has also been involved in funded projects and holds patents. He has given talks at various conferences.
Research Experience
He is an Associate Professor at the Ca' Foscari University of Venice. He has been involved in multiple research projects such as THAITI — Precision Medicine, Medical Imaging, Proteomics, ProCell: cell proliferation analysis, SDEGnO: predicting cosmic radiation, pyFUME: interpretable AI, Drug design and nano-analyses, FanFAIR: datasets fairness, Behavioral ecology, Fuzzy Self-Tuning PSO: settings-free global optimization, Simpful: a python library for fuzzy logic, and GPU-powered simulation.
Education
Associate Professor at the Ca' Foscari University of Venice
Background
His main research activity is focused on the development of innovative combinations of Evolutionary Computation, Swarm Intelligence, Fuzzy Logic, and Machine Learning to tackle complex computational problems. His research is mainly driven by open problems in Computational Systems Biology and Medicine, with a focus on interpretability and explainability issues arising from modern machine learning approaches. He develops his methods on High-Performance Computing infrastructures, particularly GPU-based supercomputers.
Miscellany
Very open to interdisciplinary research. You can contact him on LinkedIn, Bluesky, or by email.