معرفی
Matteo Re is an Associate Professor at the Department of Computer Science, University of Milan. His research focuses on Machine Learning, Computational Biology, and Bioinformatics, with applications in genomics, drug network analysis, and semi-supervised learning. He has contributed to developing tools like RANKS for node label ranking in biological networks and HyperSMURF for predicting genetic variants. His work integrates graph-based methods, ensemble learning, and network modeling to address challenges in disease association, drug repositioning, and biomolecular data analysis.
Re’s research interests include semi-supervised node classification, imbalanced data handling, and functional gene prioritization. He has collaborated on projects involving clinical phenotype prediction using patient biomolecular networks and drug therapeutic categorization. His methods emphasize scalable learning, secondary memory usage, and multi-species data fusion. Awards and grants are not explicitly mentioned, but his extensive publication record reflects strong contributions to computational biology and machine learning.
