Riccardo Bellazzi, PhD
University of Pavia, Pavia, Italy

Riccardo Bellazzi is Full Professor of Bioengineering and Biomedical Informatics at the University of Pavia. He is the Director of the Department of Electrical, Computer and Biomedical Engineering of the University of Pavia. Moreover, he leads the Laboratory of biomedical informatics at the hospital “Salvatore Maugeri” in Pavia.

The scientific interests of Prof. Bellazzi are highly interdisciplinary and are aimed at applications of informatics to medicine and life sciences, comprising artificial intelligence, biomedical data mining, telemedicine, temporal data analysis, decision support, clinical research informatics. He has a longstanding experience in ICT applications for Diabetes management.

Prof. Bellazzi has a wide and internationally recognized research activity. In 2000 he founded the working group on "Intelligent Data Analysis and Data Mining" of the International Association of Medical Informatics (IMIA). In 2009 he became a Fellow of the American College of Medical Informatics for his international achievements. He is a Founding Fellow of the International Academy of Health Sciences Informatics (IAHSI), and he was Vice-President for Medinfo of IMIA in the period 2011-2014. He is and was involved in several EU-funded projects related to IT in medicine and bioinformatics.

He is a member of the editorial board of the journals "Methods of Information in Medicine", "Journal of the American Medical Informatics Association", "International Journal of Biomedical Informatics", "Journal of Diabetes Science and Technology "and former Associate Editor of the "Journal of Biomedical Informatics".

Prof. Bellazzi is author of more than 230 publications on international peer reviewed journals and of than 250 publications in proceedings of international conferences

Finally, he is co-founder of the academic spin-offs Biomeris, which implements software to support clinical research, and Engenome, which is specialized on the analysis of Next Generation Sequencing data with AI approaches.