{"id":10066,"date":"2025-06-30T17:25:33","date_gmt":"2025-06-30T15:25:33","guid":{"rendered":"https:\/\/www.crs4.it\/people\/luca-pireddu\/"},"modified":"2026-04-05T19:13:32","modified_gmt":"2026-04-05T17:13:32","slug":"luca-pireddu","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/luca-pireddu\/","title":{"rendered":"Luca Pireddu"},"content":{"rendered":"

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).<\/p>\n","protected":false},"featured_media":4096,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-10066","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"name":"Luca","surname":"Pireddu","email":"pireddu@crs4.it","phone":"","user_uuid":"e3c42c62-99fc-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"https:\/\/scholar.google.com\/citations?user=H8adeh0AAAA","position":"Researcher","microsoft_academic_id":"","project_coordinator":[{"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.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.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":"2026-04-02 12:32:43","post_modified_gmt":"2026-04-02 10:32:43","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":12707,"post_author":"4","post_date":"2025-07-03 18:18:46","post_date_gmt":"2025-07-03 16:18:46","post_content":"The Turin Prostate Cancer Prognostication (TPCP) is an observational cohort study sponsored by the Department of Medical Sciences of the University of Turin, funded by the AIRC<\/strong> Foundation for Cancer Research, and started during 2021 at the AOU Citt\u00e0 della Salute e della Scienza di Torino.The TPCP study aims to develop, through a new integrated approach, a prognostic model for prostate cancer<\/strong> that can best guide the patient's treatment pathway.CRS4's role relates to fully anonymized image management and analysis of the study's digital slides through CRS4's Digital Pathology Platform<\/strong>, already the basis of international studies and research projects. In this study, in particular, the Platform will enable pathologists to examine and annotate digital slides, manually<\/strong> and with the support of automatic analysis tools based on artificial intelligence methods<\/strong>.","post_title":"DP AIRC","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"dp-airc","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:54","post_modified_gmt":"2026-04-02 10:32:54","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/dp-airc\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13305,"post_author":"4","post_date":"2025-07-03 18:19:01","post_date_gmt":"2025-07-03 16:19:01","post_content":"The BBMRI Common Service IT aims to:\n\n

  • Enable the findability <\/strong>of biobanking and biomolecular resources;<\/li>\n
  • Facilitate access <\/strong>to biobanks;<\/li>\n
  • Help biobanks in providing quality-defined samples & datasets;<\/li>\n
  • Support legal and ethical compliance<\/strong>;<\/li>\n
  • Support biobanks <\/strong>in implementing missing IT components.<\/li>\n\nThe project strives to achieve its objectives by defining neutral interfaces and data models to facilitate search, access, communication and interoperability across the European biobanking landscape. In addition, it provides open source reference implementations of these interfaces and data models, while also encouraging the BBMRI-ERIC community and private entities to contribute their own implementations that can be connected to the overall network.","post_title":"BBMRI CS IT","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"bbmri-cs-it","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:07","post_modified_gmt":"2026-04-02 10:33:07","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/bbmri-cs-it\/","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":14749,"post_author":"4","post_date":"2025-07-03 18:19:19","post_date_gmt":"2025-07-03 16:19:19","post_content":"EOSC Future responds to INFRAEOSC-03-2020 call in order to integrate, consolidate, and connect e-infrastructures, research communities, and initiatives in Open Science to further develop the EOSC Portal, EOSC-Core and EOSCExchange of the European Open Science Cloud (EOSC). EOSC Future is structured around six thematic pillars that strategically group the work package tasks and activities and coherently present the key objectives and activities of the project to stakeholders: Pillar 1 on Policy & Strategy will coordinate and support a strategic vision for the future EOSC; Pillar 2 on Connection & Integration will connect and integrate EOSC infrastructures, data, and services; Pillar 3 on Excellent Science & Interdisciplinarity will extend the EOSC value Chain with scientific use cases; Pillar 4 on Growth & Innovation will grow and innovate EOSC with value-added services; Pillar 5 on Skills & Training will train users and providers of the EOSC ecosystem; and Pillar 6 on Engagement & Communications will engage the wider EOSC Community at a global level. EOSC Future will unlock the potential of European research via a vision of Open Science for Society by (1) bringing all major stakeholders in the EOSC ecosystem together under one project umbrella to break the disciplinary and community silos and consolidate key EOSC project outputs, (2) developing scientific use cases in collaboration with the thematic communities showcasing the benefits and societal value of EOSC for doing excellent and interdisciplinary research, (3) engaging the wider EOSC community and increasing the visibility of EOSC through communications campaigns, marketing strategies, and physical and online engagement events, and (4) including the EOSC community in developing the EOSC Portal (including the long tail of science, public and private sectors, and international partners) via co-creation open calls.","post_title":"EOSC Future","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"eosc-future","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:20","post_modified_gmt":"2026-04-02 10:33:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/eosc-future\/","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 ESFRI<\/a> research infrastructures in the 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.\nSome Figures<\/strong> EOSC-Life brings together the 13 research infrastructures in the Health and Food domain of the ESFRI Roadmap\u00a0Project Duration:\u00a0<\/strong>48 mesiPartners: <\/strong>46 Partners, 17 Linked Third parties, 12 Third partiesResources:\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":14980,"post_author":"4","post_date":"2025-07-03 18:19:47","post_date_gmt":"2025-07-03 16:19:47","post_content":"Health scientific discovery and innovation are expected to quickly move forward under the so-called \u201cfourth paradigm of science\u201d, which relies on unifying the traditionally separated and heterogeneous high-performance computing and big data analytics environments. Under this paradigm, the DeepHealth project will provide HPC computing power at the service of biomedical applications; and apply Deep Learning (DL) techniques on large and complex biomedical datasets to support new and more efficient ways of diagnosis, monitoring and treatment of diseases.\nDeepHealth will develop a flexible and scalable framework for the HPC + Big Data environment, based on two new libraries: the European Distributed Deep Learning Library (EDDLL) and the European Computer Vision Library (ECVL). The framework will be validated in 14 use cases which will allow to train models and provide training data from different medical areas (migraine, dementia, depression, etc.). The resulting trained models, and the libraries will be integrated and validated in 7 existing biomedical software platforms, which include: a) commercial platforms (e.g. PHILIPS Clinical Decision Support System from or THALES PIAF; and b) research-oriented platforms (e.g. CEA`s ExpressIFTM or CRS4`s Digital Pathology). The impact is measured by tracking the time-to-model-in-production (ttmip).\nThrough this approach, DeepHealth will also standardise HPC resources to the needs of DL applications, and underpin the compatibility and uniformity on the set of tools used by medical staff and expert users. The final DeepHealth solution will be compatible with HPC infrastructures ranging from the ones in supercomputing centres to the ones in hospitals. DeepHealth involves 21 partners from 9 European Countries, gathering a multidisciplinary group from research organisations (9), health organisations (4) as well as (4) large and (4) SME industrial partners, with a strong commitment towards innovation, exploitation and sustainability.","post_title":"DeepHealth","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"deephealth","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:40","post_modified_gmt":"2026-04-02 10:33:40","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/deephealth\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14982,"post_author":"4","post_date":"2025-07-03 18:19:48","post_date_gmt":"2025-07-03 16:19:48","post_content":"IDEHA will create an open IT platform for Cultural Heritage, combining both digital content from traditional repositories and information generated in real time by users or environmental sensors; aggregating, processing and understanding the data by utilizing new learning technologies to build services that can be used by different users (technician, researcher, tourist, etc.) profiled through specific multimodal applications (eg. mobile apps) and usable in wide scale on different cultural sites, large or small, distributed across the territory.","post_title":"IDEHA","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ideha","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:41","post_modified_gmt":"2026-04-02 10:33:41","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/ideha\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19587,"post_author":"4","post_date":"2025-07-03 18:20:39","post_date_gmt":"2025-07-03 16:20:39","post_content":"Metabolomics aims to provide novel insights into the biochemical reactions of organisms by characterising the presence and concentrations of low molecular weight compounds from biological samples. The primary analytical tools for such high-throughput data collection are mass spectrometry (MS), often preceded by chromatographic or electrophoretic separation technologies, and nuclear magnetic resonance spectroscopy (NMR).\nMetabolite identification is the area that the community believes will have maximal impact of computational metabolomics and metabolomics data management and will benefit most from interactions with the existing five ELIXIR platforms and where progress will contribute most to other ELIXIR communities.\nThe progress through this integrative Implementation Study will benefit industry and academia alike as metabolite identification is one of the major bottlenecks in metabolomics and resolving this challenge requires a community effort.","post_title":"ELIXIR METABOLOMIC","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"elixir-metabolomic","to_ping":"","pinged":"","post_modified":"2026-04-02 12:34:26","post_modified_gmt":"2026-04-02 10:34:26","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/elixir-metabolomic\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":602543,"post_author":"4","post_date":"2026-04-02 12:32:21","post_date_gmt":"2026-04-02 10:32:21","post_content":"The project\u2019s activities form part of the Strengthening BBMRI.it project, funded by the European Union\u2019s Next Generation Europe initiative and led by the Italian National Node (BBMRI.it) of BBMRI-ERIC. Specifically, the objectives of Work Package 2, dedicated to the Ethical, Legal and Social Implications (ELSI) infrastructure, include the development of a pilot project designed to:1.\u00a0 \u00a0 dynamically integrate participants\u2019 informed consent, represented using the international Common Conditions of Use Elements (CCE) terminology;2.\u00a0 \u00a0 develop and co-create a BBMRI app for digital consent\/assent;\u00a03.\u00a0 \u00a0 characterise biobank samples using ELSI metadata (participants\u2019 pseudonymised preferences translated into CCE) in an interoperable format;4.\u00a0 \u00a0 provide a bidirectional digital interface between citizen-participants and biobanks, created in collaboration with the BBMRI community (including doctors, data protection officers and representatives of patients, citizens and mature minors);5.\u00a0 \u00a0 define strategies and tools for a future extension of the results of the Italian pilot project beyond national borders, integrating ELSI metadata within the BBMRI-ERIC Federated Platform (FP), in particular within the Locator system.The project focuses on the final point and aims to develop models and tools for exporting consent preferences, based on CCEs, from research biobank IT management systems (Biobank IT Management System \u2013 BIMS), in standard formats compatible with the BBMRI-ERIC Federated Platform.","post_title":"BBMRI.it Consent","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"bbmri-it-consent","to_ping":"","pinged":"","post_modified":"2026-04-02 12:39:58","post_modified_gmt":"2026-04-02 10:39:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/bbmri-it-consent\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":12560,"post_author":"4","post_date":"2025-07-03 18:17:42","post_date_gmt":"2025-07-03 16:17:42","post_content":"H2UB is intended to be a Life Science infrastructure aimed at fostering new drug development through a network of laboratories capable of providing basic, translational and preclinical research support using cutting-edge technologies.\nGovernance of the Hub will be centralized and will provide support in regulatory, ethics and management, as well as organizational and dissemination. Expertise will be articulated in thematic platforms that will include:\n