معرفی
Marco Frasca is an Associate Professor in the Department of Computer Science at the University of Milan. He is a member of the AnacletoLab (Computational Biology and Bioinformatics Lab) and holds a Ph.D. in Computer Science from the University of Milan. His research focuses on machine learning applications in bioinformatics, including artificial intelligence for medicine, deep learning, and neural network compression. He has held visiting positions at institutions such as the University of Toronto and Johannes Gutenberg University.
Education:
- Ph.D. in Computer Science (2012), University of Milan
- M.Sc. in Computer Science (2005), University of Salerno
Research Interests: Frasca's work bridges machine learning and computational biology, emphasizing methods for imbalanced data, hierarchical classification, and biomolecular network analysis. He develops algorithms for gene function prediction, disease-gene prioritization, and compressed deep learning models. His tools, such as COSNet and UNIPred-Web, are widely used in bioinformatics.
Grants & Projects:
- Leader of the OPTIMA-NASH project (Pfizer-funded), integrating AI for NASH management
- PRIN Project 2017 (Italian Ministry of Education) on data structures and algorithms
Labs & Teams: Frasca leads the AnacletoLab, focusing on AI-driven solutions for biology and medicine. The lab collaborates internationally on projects like CAFA3 and the EPIGEN flagship.
