Marco Mesiti

Marco Mesiti is an Associate Professor at the Department of Computer Science, University of Milan, Italy. He holds a PhD and Laurea in Computer Science from the University of Genova. His research focuses on data management, big data visualization, and bioinformatics, particularly in biomolecular networks and IoT data. He is a member of AnacletoLAB and has contributed to developing tools like UNIPred-Web for biomolecular network analysis.

Education:

• PhD in Computer Science, University of Genova, 2003
• MSc in Computer Science, University of Genova, 1998
• Laurea (BSc equivalent) in Computer Science, University of Genova (cum laude)

Research Interests:

His work spans XML data handling, semistructured data, and applications in bioinformatics, IoT, and credit worthiness. He explores approaches to manage heterogeneous data, including visualization techniques and knowledge graph construction. Recent projects include RNA-centered knowledge graphs and GPU-based algorithms for large networks.

Publications:

Recent work includes advancements in machine learning for protein design, RNA interaction analysis, and multi-omics data integration. His research emphasizes scalable methods for biomolecular networks and visual analytics tools.

Grants & Collaborations:

Involved in projects like ELISE and MUSE. Collaborates internationally on bioinformatics and computational biology initiatives.

Labs & Teams:

Member of AnacletoLAB, focusing on machine learning and data science applications.