{"id":10251,"date":"2025-06-30T17:23:36","date_gmt":"2025-06-30T15:23:36","guid":{"rendered":"https:\/\/www.crs4.it\/people\/simone-leo\/"},"modified":"2026-04-25T20:12:10","modified_gmt":"2026-04-25T18:12:10","slug":"simone-leo","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/simone-leo\/","title":{"rendered":"Simone Leo"},"content":{"rendered":"<p>Simone Leo holds a five-year degree in Electronic Engineering from the University of Cagliari and a Ph.D. in Biomedical Engineering from the same university. From 2003 to 2006 he has worked in the private sector as a system administrator. Since 2006 he has been working at CRS4 as a software engineer and, from 2008, as a researcher. His research interests are mainly focused on distributed computing models, with an emphasis on their applicability to computational biology.<\/p>\n","protected":false},"featured_media":4148,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-10251","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"name":"Simone","surname":"Leo","email":"simleo@crs4.it","phone":"","user_uuid":"e3c1dfb6-99fc-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"https:\/\/scholar.google.com\/citations?user=3vaGOeoAAAA","position":"Researcher","project_coordinator":"","microsoft_academic_id":"","team_members":[{"ID":12561,"post_author":"4","post_date":"2025-07-03 18:17:44","post_date_gmt":"2025-07-03 16:17:44","post_content":"The LIFEMap Project \"From Pediatric Pathology to Cardiovascular and Neoplastic Diseases in Adults: Genomic Mapping for Personalized Medicine and Prevention\" - Trajectory 3 of the Operational Health Plan of the Ministry of Health - aims to identify pathological and sub-pathological conditions in children and\/or predictive genetic profiles associated with an increased risk of serious diseases in adults, taking into account environmental risk factors to develop personalized therapy and prevention plans for both children and adults.\n\u00a0For this purpose, the following will be undertaken:\n\n<li>Development of a federated database for the integration of genomic and phenotypic data;<\/li>\n<li>Utilization of a dataset (\u22655,000 patients) comprising clinical, genomic, and environmental (lifestyle) data for AI analysis;<\/li>\n<li>Recruitment of new cases, both pediatric and adult (5,000 patients), with detailed clinical characterization;<\/li>\n<li>Development of a scalable and reusable platform for the analysis and sharing of new data (1,400 WGS, 3,600 SNP);<\/li>\n<li>Identification of a series of genetic variants and profiles associated with the risk of developing obesity, chronic inflammatory diseases, pediatric neoplasms, and their complications in adulthood;<\/li>\n<li>Development of an AI analysis framework and application of Deep Learning for Network Medicine;<\/li>\n<li>Implementation of a biobank of samples, potentially reusable beyond the project's completion.<\/li>\n\nCRS4 will take part in the project with the following activities:\n<ul>\n<li>Whole Genome Sequencing on approximately 1,000 samples;<\/li>\n<li>development of scalable and reusable platforms for WGS data analysis for variant identification;<\/li>\n<li>genomic data modeling, standardization and sharing in international reference platforms;<\/li>\n<li>application of scalable platforms for WGS analysis and data sharing;<\/li>\n<li>scientific dissemination.<\/li>\n<\/ul>\n<ul>\n<\/ul>","post_title":"LIFEMAP","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"lifemap","to_ping":"","pinged":"","post_modified":"2026-04-16 10:00:05","post_modified_gmt":"2026-04-16 08:00:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/lifemap\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12688,"post_author":"4","post_date":"2025-07-03 18:18:25","post_date_gmt":"2025-07-03 16:18:25","post_content":"The aim of this training course is to consolidate skills useful for tackling the transition of the BBMRI-ERIC biobanks geared to the cornerstones of the FAIR Principles (Findability-Accessibility-Interoperability-Reusability), particularly with regard to the data held and the processes that generate or aggregate them.<br\/>The programme starts by reinforcing the participants' skills in system and biomedical data management and explores the topics of interoperability (technical and semantic), scalable and reproducible computing and the application of the FAIR Principles in biomedical research contexts.<br\/>The course is organised in theoretical lectures accompanied by practical sessions (topic-specific or as part of the realisation of a final project).","post_title":"BBMRI TRAINING","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"bbmri-training","to_ping":"","pinged":"","post_modified":"2026-04-15 10:00:13","post_modified_gmt":"2026-04-15 08:00:13","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/bbmri-training\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12698,"post_author":"4","post_date":"2025-07-03 18:18:37","post_date_gmt":"2025-07-03 16:18:37","post_content":"The ICSC National Research Centre for High Performance Computing, Big Data and Quantum Computing promotes national and international-level innovation, building on a state-of-the-art infrastructure for computation and big data management.\u00a0 The Center focuses, on the one hand, on the maintenance and enhancement of the Italian HPC and Big Data infrastructure and, on the other hand, on the development of advanced numerical methods and applications, software tools and workflows, to integrate the computation, simulation, collection and analysis of data of interest to the research system and the productive and social system, including through cloud and distributed approaches. It engages and promotes the best interdisciplinary expertise in science and engineering, enabling radical and sustainable innovations in fields ranging from basic research to computational and experimental sciences of climate, environment, space, matter and life, epidemiology, materials technologies, and future systems and devices for IT and the production system at large. The Center supports higher education and promotes policy development for responsible data management from an open data and open science perspective, combining regulatory, standardization and compliance profiles.\n\u00a0\nCRS4 participates in the project in Spoke 9 (Digital Cities) through [a] the research and development of AI solutions to infer, from visual data or other measurements, of 3D structured models of buildings; [b] solutions to improve the quality and reliability of digital twins by fostering composability, interoperability, reusability and reproducibility of datasets, computational tools and their results; [c] the study and development of probabilistic methods for forecasting electricity consumption and renewable generation for individuals and smart and artificial intelligence methods for electricity consumption analysis and non-intrusive disaggregation of household electric loads.\n\u00a0\nProject Partners:\u00a0<a>https:\/\/www.supercomputing-icsc.it\/en\/partnership\/<\/a>","post_title":"HPCCN","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"hpccn","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:12","post_modified_gmt":"2026-04-02 10:32:12","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/hpccn\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13311,"post_author":"4","post_date":"2025-07-03 18:19:06","post_date_gmt":"2025-07-03 16:19:06","post_content":"BeYond-COVID (BY-COVID) aims to provide comprehensive open data on  SARS-CoV-2 and other infectious diseases across scientific, medical,  public health and policy domains. It will strongly emphasise mobilising  raw viral sequences, helping to identify and monitor the spread of  SARS-CoV-2 variants. The project will further accelerate access to  SARS-CoV-2 and COVID-19 and linking patient and research data.\nTo  ensure interoperability of national and global efforts, BY-COVID will  enable federated data analysis compliant with data protection  regulations, harmonise and manage metadata and sample identifiers, and  facilitate long-term cataloguing.\nBY-COVID will build on the  One-Health approach, exploit and contribute to the European Open Science  Cloud and work closely with the ISIDORe project funded through HORIZON  Europe.\nThe project will integrate established national and  European infrastructures with ELIXIR, BBMRI, ECRIN, PHIRI and CESSDA. It  will build on existing efforts, such as the COVID-19 Data Platform and  the Versatile Emerging infectious disease Observatory project (VEO),  maximising efficiency. It will also develop synergies with the European  Health Data Space.\nIn an unprecedented and unique  interdisciplinary effort, BY-COVID will bring together 53 partners from  19 countries and stakeholders from the biomedical field, hospitals,  public health, social sciences and humanities.\nUltimately, it will  improve European readiness for future pandemics, enhance genomic  surveillance and rapid-response capabilities. In addition, BY-COVID  serves as a demonstrator of interdisciplinary work across country  borders. The project's outputs will allow scientists across multiple  domains, including SMEs and industry, to access varied data with the  potential to generate new knowledge on infectious diseases.","post_title":"BY-COVID","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"by-covid","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:13","post_modified_gmt":"2026-04-02 10:33:13","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/by-covid\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14761,"post_author":"4","post_date":"2025-07-03 18:19:29","post_date_gmt":"2025-07-03 16:19:29","post_content":"The 13 <a>ESFRI<\/a> research infrastructures in the <a>Health and Food domain<\/a> in March 2019 started the EOSC-Life project to create an open collaborative  digital space for life science in the European Open Science Cloud  (EOSC).\nLife science research directly addresses key societal challenges and  drives the bio-economy. To keep European Life Science at the forefront  of global advances and to deepen our understanding of life and disease,  the data, digital services and advanced facilities vital for life  science research must be findable, accessible, interoperable, reusable  (FAIR) across scientific disciplines and national boundaries. FAIR data  and services improves reproducibility of biomedical research, drives new  scientific discoveries and enables any researcher in Europe and across  the world to access and use them.\nIn EOSC-Life the research infrastructures will publish data from  facilities and data resources in the EOSC and link these FAIR databases  to open and reusable tools and workflows accessible to users via  Europe\u2019s national and international life-science clouds. EOSC-Life will  also connect users across Europe to a single login authentication and  resource authorisation system and develop data policies needed to  preserve and deepen the trust given by research participants and  patients volunteering their data and samples.\nEOSC-Life project is coordinated by ELIXIR, the ESFRI Research  Infrastructure for biological data. The consortium of 13 Research  Infrastructures cover all aspects of life science research and all life  science domains.\n<strong>Some Figures<\/strong><br\/> EOSC-Life brings together the 13 research infrastructures in the Health and Food domain of the ESFRI Roadmap\u00a0<br\/><strong>Project Duration:\u00a0<\/strong>48 mesi<br\/><strong>Partners: <\/strong>46 Partners, 17 Linked Third parties, 12 Third parties<br\/><strong>Resources:\u00a0<\/strong>23.7 M\u20ac, 11 Work Packages, 34 Deliverables","post_title":"EOSC Life","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"eosc-life","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:25","post_modified_gmt":"2026-04-02 10:33:25","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/eosc-life\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":637818,"post_author":"4","post_date":"2026-04-14 18:00:05","post_date_gmt":"2026-04-14 16:00:05","post_content":"DAMAS \u2013 Digital Hub for AutoMotive and AeroSpace is the Italian and European hub that supports the digital and green transformation of the aerospace and automotive supply chains throughout Italy. Coordinated by Leonardo, DAMAS brings together leading companies in the automotive and aerospace sectors, enabling Italian micro, small, medium, and large enterprises to access customized training programs, pre-investment testing, financial services, and networking opportunities with key players in the fields of HPC, AI, digital assets, and beyond.\nDAMAS focuses on key digital technologies and enabling factors such as: High-Performance Computing, Artificial Intelligence, Cloud &amp; Edge Computing; Big Data Analytics; Virtual Reality\/Augmented Reality; Fast Prototyping, including 3D printing; Additive Manufacturing; Digital Twin Simulation &amp; Modeling; Space Technologies; Geo-Information, and much more (see the catalogue of services\u00a0on the project official website\u00a0<a>https:\/\/edih-damas.it<\/a>).","post_title":"DAMAS","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"damas","to_ping":"","pinged":"","post_modified":"2026-04-15 09:00:05","post_modified_gmt":"2026-04-15 07:00:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/damas\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Simone Leo - 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\/people\/simone-leo\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Simone Leo - CRS4\" \/>\n<meta property=\"og:description\" content=\"Simone Leo holds a five-year degree in Electronic Engineering from the University of Cagliari and a Ph.D. in Biomedical Engineering from the same university. 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