Giorgio Valentini

Giorgio Valentini is a Full Professor at the Department of Computer Science, University of Milan, and a member of the UNIMI Doctoral School of Informatics. He leads the AnacletoLAB research group, focusing on developing AI methods for bio-medical applications, including genomics, bioinformatics, and computational biology. His work bridges machine learning, network analysis, and big data techniques to address challenges in healthcare and biomedicine.

Education:

• Master Degree in Biology and Computer Science
• PhD in Computer Science (University of Genoa)

Research Interests: Valentini's research emphasizes interdisciplinary approaches to biomedical problems, particularly:

• Development of imbalance-aware machine learning models for rare variant prediction
• Network-based gene prioritization and protein function prediction
• Integration of multi-omics data for disease modeling
• Applications of graph neural networks and knowledge graphs in healthcare
• Explainable AI for clinical decision support

Awards & Recognition: In 2018, his work on predicting human gene-phenotype associations was honored as one of the best journal articles by the International Medical Informatics Association. He serves on the Editorial Board of Scientific Reports (Nature).

Grants & Collaborations: Principal Investigator of 10+ projects funded by national/international agencies, including collaborations with the European Union’s Joint Research Center, Berlin Institute of Health, and Jackson Lab. His work addresses challenges in rare diseases, cancer genomics, and precision medicine.

Teams & Labs: Leads the AnacletoLAB, which develops tools like UNIPred-Web for biomolecular network analysis and RANKS for node classification. The lab emphasizes open-source software and reproducible research.