Matteo Re received the degree in Molecular Biology at the University of Milan in 2004 with a thesis entitled "Finding new genes and novel gene isoforms in the human genome using comparative genomics methods". For the next three years he worked in the laboratory of bioinformatics and computational genomics of the Dept. of Biomolecular sciences and Biotechnologies of the Milan university developing new indicators enabling the detection and characterization of functional regions in the human genome exploiting the analysis of the evolutionary patterns left in the DNA sequence during evolution using machine learning supervised approaches under the scientific supervision of prof. Graziano Pesole and David S. Horner. In this period he was the DBA/main developer of many in house developed databases aimed to integrate at genome wide level the data collected from several publicly available biological databases, ranging from NCBI Entrez Gene, NCBI Homologene, NCBI GEO expression library, UCSC genome browser, PFAM, mirBase and many others. In 2007 he obtained the PhD in Cellular and molecular Biology at the University of Milan with a thesis entitled "Development of machine learning methods for the discrimination between coding and non-coding conserved sequences".

From February 2008 to August 2008 he joined the S.Raffaele Genetics of common human deseases research unit at HSR Di.Bi.T (dept. of Biotechnologies) where he was involved in the development of a system aimed to integrate medical and genetics heterogeneous data supporting the fully automated analysis of a genetically insulated population.

Since September 2008 he joined the Dept. of Computer Sciences (D.S.I.) at the Milan university. His main research focuses on bioinformatics and machine learning. His personal propensity for interactions between disciplines promoted the development of research lines involving at the same time bioinformatics and machine learning. Bioinformatics research activities are characterized by the development and application of machine learning methods and algorithms to the analysis of high-throughput bio-molecular data.

Since november 2012 he is assistant professor at the Dept. of Computer Sciences (D.I.) at the university of Milan.

You can find more details about my research in the remaining sections of this site.