Session 3: Data quality, standardisation, synthetic data generation, anonymization and interoperability

Speakers: Sara Reidel, Giulio Spinozzi​, Sofia Tsekeridou, Imanol Isasa, Rafael Redondo, Inês Sousa, Jan Ramon, Max Salmi 

Sara Reidel, ENROL Biostatistician & Data Manager. Vall d'Hebron Research Institute, Barcelona.

Giulio Spinozzi, is an engineer with an expertise in artificial intelligence and automation. He holds a PhD in Computer Science and AI from the University of Milano-Bicocca. Currently hold the position of Chief Technology Officer (CTO) at Datawizard srl. Previously, I was Technical Leader and Project Manager for Datawizard Srl and DS Tech Srl in the Innovation Unit, focusing on IT and biomedical projects funded by European Union and Horizon 2020 (SYNTHEMA, GenoMed4ALL, InCareHeart, and HSMonitor). From 2023 to 2025, he also coordinated AI-CODE, a project funded by the European Union (101135437). I have also been the director of the undergraduate degree program in Computer Engineering and Artificial Intelligence at the EPICODE Institute of Technology since January 2026. From 2019 to 2025, he was the director of Data Science at the San Raffaele Telethon Institute for Gene Therapy (SR-Tiget) in Milan. He has also collaborated with the University of Perugia, Department of Medicine, and the Bambino Gesù Children's Hospital, Department of Oncohematology and Cellular and Gene Therapy, as a consultant (analysis of next-generation sequencing data and development of new pipelines for intensive genomic analyses).

Dr. Sofia Tsekeridou is a Senior Research and Innovation Manager - Expert at the Research and Innovation Development Dept. of Netcompany BELUX. She holds an ECE Diploma and a PhD in Computer Science, both from Aristotle University of Thessaloniki, Greece. She has more than 25 years' experience in project/technical management and research, development and innovation activities, primarily in the fields of software engineering, multimodal data management, AI and security/cybersecurity. She has published many papers at international scientific journals and conferences and has contributed to TV Anytime, W3C, IEEE and ETSI standardization bodies. Dr. Tsekeridou is a senior member of IEEE, co-lead of the BDVA Healthcare Task Force and an expert member of the FCT-INFRA sub-group of EC DG HOME CERIS expert group. She holds a personnel security clearance at EU SECRET and NATO SECRET level.

Imanol Isasa Reinoso obtained his degree in Biomedical Engineering from Mondragon Unibertsitatea in 2021, following a stay in Germany (Hochschule Furtwangen University, HFU), where he focused on the analysis of EIT (Electrical Impedance Tomography) images in COVID-19 patients in collaboration with the ITeM (Institute of Technical Medicine). In September 2021, he began the Master's degree in Biomedical Technologies at Mondragon Unibertsitatea, and by the end of 2022 he started developing his Master's Thesis at Vicomtech, entitled "Healthcare-oriented generation of synthetic time series and associated subjects." After completing his master's studies, Imanol joined the Digital Health and Biomedical Technologies Department at the same center. Currently, he is a researcher at Vicomtech and is pursuing his PhD at the University of the Basque Country, focusing on federated learning technologies and generative models.

Rafael Redondo Tejedor, Senior Researcher with a PhD in Computer Vision at the Institute of Optics (CSIC) and ETSI Telecommunication (UPM) in 2007 and a Master in Sonology (UPF) in 2012. Throughout my career, I have participated in multiple international initiatives of scientific and technological relevance with the participation of academic and industrial partners, strengthening interdisciplinary research and technology transfer. In recent years, as technical leader and coordinator of multidisciplinary projects, I have led public and private research in applied deep learning, including multimodal generative models. AMETIC 2024 Award for Best R&D Project, high-impact project of CIDAI of scientific and industrial excellence with 3Cat. My sustained scientific production, with more than 30 articles in international journals and conferences, and since 2022 as a supervisor of MSc and PhD students at the UAB and UPF, contributes to advanced training and the transfer of academic-industrial knowledge.

Inês Sousa is the Head of Intelligent Systems and a senior researcher at Fraunhofer Portugal AICOS. Within the Intelligent Systems group, Inês leads a team of 30 researchers who work closely with clients and partners to conceptualize, plan, and develop Artificial Intelligence based solutions that are secure and have a positive impact. These solutions automate repetitive processes, enhance human capabilities in interpreting large amounts of data and anticipating events, and support decision-making, generating value.
Inês holds a PhD in Biomedical Engineering from the Instituto Superior Técnico, where, in collaboration with Siemens Healthcare and Hospital da Luz, she studied brain function through quantitative Magnetic Resonance Imaging techniques.
From human brain research, she transitioned to artificial intelligence, maintaining a focus on processes that evolve over time, such as the evolution of clinical risk factors or post-surgical recovery. Currently, she is involved in the Center for Responsible AI, an initiative that brings together the entire national AI ecosystem, with the goal of advancing the field of developing robust and auditable AI solutions while maintaining data privacy. She also coordinates the European AISym4Med consortium, which aims to create a platform that supports the development of AI solutions for health, ensuring secure access to high-quality clinical data.

Max Salmi, Chief Product Officer, VEIL.AI. Max Salmi holds a background in mathematics and computer science from the University of Helsinki. He has over 15 years of experience in genomic and clinical data management and analysis, medical imaging, and agile software development.

Jan Ramon is a senior researcher at the French computer science research institute INRIA in Lille. His main interests include machine learning, trustworthy and regulatory compliant AI, privacy-preserving and federated algorithms, and their applications in medicine.  He is the scientific coordinator of the FLUTE project (fluteproject.eu). Previously, he has worked on data mining on structured and probabilistic data and applications of machine learning in intensive care medicine, virology and drug discovery, and participated in projects such as HE TRUMPET and ERANET Adalab.