Silvio Bicciato

Silvio Bicciato obtained his PhD in Chemical Engineering from the University of Padova working on an automatic system for the control of biopolymer synthesis. He then joined the Bioinformatics and Metabolic Engineering Laboratory of G.N. Stephanopoulos at MIT (Cambridge, USA) where, as a post-doctoral associate, he started working on the design and application of database-mining algorithms and bioinformatics tools for the analysis of microarray gene expression data. After three years at MIT, he moved back to University of Padova where he established a research group of bioinformatics and functional genomics. In 2008, he moved to the University of Modena and Reggio Emilia where he created the Bioinformatics Lab at the Center for Genome Research, an interdisciplinary group comprising computer scientists, molecular biologists, statisticians, biotechnologists, and engineers that cooperate to the generations of the bioinformatics tools required by new technologies for genomics. His principal research interest is the design and application of computational and bioinformatics methods for the analysis of genomic data coming from high-throughput technologies and the modeling of complex biological systemsSilvio Bicciato obtained his PhD in Chemical Engineering from the University of Padova working on an automatic system for the control of biopolymer synthesis. He then joined the Bioinformatics and Metabolic Engineering Laboratory of G.N. Stephanopoulos at MIT (Cambridge, USA) where, as a post-doctoral associate, he started working on the design and application of database-mining algorithms and bioinformatics tools for the analysis of microarray gene expression data. After three years at MIT, he moved back to University of Padova where he established a research group of bioinformatics and functional genomics. In 2008, he moved to the University of Modena and Reggio Emilia where he created the Bioinformatics Lab at the Center for Genome Research, an interdisciplinary group comprising computer scientists, molecular biologists, statisticians, biotechnologists, and engineers that cooperate to the generations of the bioinformatics tools required by new technologies for genomics. His principal research interest is the design and application of computational and bioinformatics methods for the analysis of genomic data coming from high-throughput technologies and the modeling of complex biological systems