Say hi to our team

Silvia Gioiosa is a bioinformatician and HPC engineer with a Master’s degree in Genomic Biotechnology. She is is the local technical coordinator for CINECA within the Elixir infrastructure. She specialized in the development and optimization of high-performance computing workflows for large-scale omics data, supporting advanced research in biomedical research. Actively involved in several EU and PNRR-funded projects focused on life science applications, she contributes to multidisciplinary teams working on genomics, data integration, and computational biology. She is also highly engaged in professional training, regularly attending and delivering courses in bioinformatics, workflow management, programming language and HPC systems.

Stefano is the director of the Foodborne Diseases Unit of the Department of Food Safety, Nutrition and Veterinary Public Health of the Italian National Institute of Health. Director of the European and National Reference Laboratory for E. coli. Coordinator of research projects on the molecular basis of the virulence of Shiga toxin-producing E. coli and other pathogenic E. coli. Coordinator of the ARIES research infrastructure on the use of genomics for the study of microorganisms and for the analysis of high-intensity data. He is the author of numerous peer-reviewed publications on the evolution of bacterial virulence and edited the book "Pathogenic Escherichia coli, molecular and cellular microbiology", published by Caister Academic press. He is coordinator of the IRIDA-ARIES platform aimed at the collection and analysis of genomic characterization data for the enhancement of surveillance of human infections caused by foodborne pathogens.

Stefano has been a full professor of Biochemistry and Bioinformatics at Sapienza University of Rome, Department of Biochemical Sciences since 2001 and has been coordinator of the PhD programme in Bioinformatics and Computational Biology since 2024. His scientific interests focus mainly on structural bioinformatics applied to the analysis of proteins and variants involved in diseases. He has recently studied the SARS-CoV-2 spike protein and its variants, as well as eukaryotic and prokaryotic membrane transporters of vitamin B6.

Ugo Borello is a neurobiologist at the University of Pisa, with extensive international experience in the USA, where he trained as a bioinformatician, and in France. He is a member of the Elixir General Assembly and serves as the Local Coordinator for the university, alongside Corrado Priami. His research investigates gene regulation during brain development, integrating methodologies from transcriptomics, epigenomics, cellular and molecular biology, as well as anatomy. He is dedicated to fostering a robust "bioinformatic culture" within the next generation of biologists.

Vincenzo is a PhD student in Systems Medicine at SEMM – European School of Molecular Medicine, with a background in bioinformatics and genomics. His PhD project focuses on epitranscriptomics, with particular interest in high-throughput sequencing data analysis, variant interpretation, and machine learning for biomedical applications. Within ELIXIR-IT, he contributes to the Impact Assessment team, supporting data-driven research evaluation activities.

Full professor of Medical Genetics at the Department of "Precision Medicine" of the "University “Luigi Vanvitelli” of Naples, Italy " and Associate Investigator of the Telethon Institute of Genetics and Medicine (TIGEM). Born in Naples July 28, 1960, graduated in Medicine. He published >320 articles in peer reviewed journals. Among the most significant results, the identification of the causes of many Mendelian disorders, especially of the neuromuscular diseases. He directs the Unit of Medical Genetics and is coordinator of the Telethon Undiagnosed Program that provides discovery of new and unrecognized genetic disorders.

Yuri is a researcher specializing in algorithms and data structures for bioinformatics, with a focus on genomic and transcriptomic sequence analysis and assembly. My work encompasses computational and parameterized complexity, haplotype inference and reconstruction, and the application of evolutionary metaheuristics and genetic programming to complex biological problems.