\n | University of Birmingham<\/a><\/td>\n | United Kingdom<\/td>\n | Partner<\/td>\n <\/tr>\n<\/table>","project_coordinator":[],"proj_website":"http:\/\/phenomenal-h2020.eu\/home\/","project_status":"Completed","team_members":[{"ID":10066,"post_author":"4","post_date":"2025-06-30 17:25:33","post_date_gmt":"2025-06-30 15:25:33","post_content":"Luca Pireddu earned his degree in Computing Science in 2003 from Laurentian University in Sudbury, Canada. Here he also started his research work joining MIRARCO in 2002, where he completed his undergraduate thesis on computational methods to optimize underground mine plans. He later pursued graduate studies at the University of Alberta, Canada, receiving his M.Sc. in Computing Science in 2006 with a thesis on predicting biological pathways by proteome analysis - a project that he continued as a researcher at U. of A. after his studies. After a stint in the private sector, Luca joined CRS4, where he currently works with the Visual and Data-Intensive Computing group. He has coordinated CRS4's participation in several EU, national and regional research projects in the area of novel development and application of data processing, analysis and management techniques to concrete problems in several fields of interest - particularly, bioinformatics, biomedical research and urban computing. He is particularly interested in techniques for facilitating scalability of complex computational scientific workflows, secure and scalable methods to leverage sensitive data collections, and data and workflow re-use through the application of FAIR principles. He represents CRS4 at the Italian nodes of the BBMRI-ERIC and ELIXIR EU Research Infrastructures and at the Data, AI and Robotics (DAIRO) Association (ex BDVA).","post_title":"Luca Pireddu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"luca-pireddu","to_ping":"","pinged":"","post_modified":"2026-04-05 20:13:32","post_modified_gmt":"2026-04-05 18:13:32","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/luca-pireddu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10070,"post_author":"4","post_date":"2025-06-30 17:25:30","post_date_gmt":"2025-06-30 15:25:30","post_content":"Graduated in Computer Engineering at Universit\u00e0 \"La Sapienza\" of Rome, since 2014 he works as a technologist at CRS4. Here he deals with the design and implementation of distributed systems for the processing and storage of large volumes of scientific data (Big Data), with a particular focus on the use of micro-service architectures and the automation of their deployment.","post_title":"Marco Enrico Piras","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"marco-enrico-piras","to_ping":"","pinged":"","post_modified":"2026-04-05 20:13:29","post_modified_gmt":"2026-04-05 18:13:29","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/marco-enrico-piras\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\nPhenoMeNal (Phenome and Metabolome aNalysis) - CRS4<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.crs4.it\/en\/projects\/phenomenal-phenome-and-metabolome-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PhenoMeNal (Phenome and Metabolome aNalysis) - CRS4\" \/>\n<meta property=\"og:description\" content=\"PhenoMeNal (Phenome and Metabolome aNalysis) is a comprehensive and standardised e-infrastructure that will support the data processing and analysis pipelines for molecular phenotype data generated by metabolomics applications. 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