Session 3: Practice | Real-world AI use cases in hospitals and industry

Jean Louis Raisaro is Head of the Clinical Data Science Group at CHUV’s Biomedical Data Science Center and Tenure-Track Assistant Professor at Vaud University Hospital (CHUV) and the University of Lausanne (UNIL). He holds a PhD from EPFL and degrees in Biomedical Informatics and Bioengineering from the University of Pavia.

His research focuses on safe, privacy-preserving AI/ML in healthcare, with contributions in federated analytics, secure cloud computing, anonymized data generation, and semantic interoperability. His work supports clinical decision-making and hospital optimization, and has been adopted by the Swiss Personalized Health Network. He has published in leading journals including Nature Communications, Nature Computational Science, JAMIA, and JMIR.

From particle physics to AI-driven healthcare, Snežana’s career has been a journey of discovery and innovation. With a PhD in physics and a research background at CERN, she sharpened her expertise in large-scale international collaborations in fundamental science before transitioning into applied and clinical data science.

Now, as a Senior Data Scientist at the Swiss Data Science Center and an external member of the Biomedical Data Science Center of the University Hospital of Lausanne, she develops AI-powered tools that assist clinicians in making life-saving decisions by predicting and monitoring medical risks in hospitalized patients. Snežana is passionate about artificial intelligence as a tool for empowerment and strongly advocates for multidisciplinary collaboration as the key to building truly human-centric AI. Beyond the world of AI and healthcare, she’s also a proud mother of two little boundless sources of energy and inspiration.

Sukalp Muzumdar is an AI and data science leader specializing in applying advanced analytics and generative AI to life sciences and precision medicine. As Head of GenAI Adoption and Senior Data Scientist at Scailyte, he drives strategy and implementation of cutting-edge solutions across R&D, clinical development, and business operations. With a PhD from ETH Zürich and postdoctoral research at Cold Spring Harbor Laboratory, Sukalp brings expertise in multimodal data analysis, biomarker discovery, and cloud-based deployments. He is passionate about bridging technical innovation with commercial strategy, enabling transformative applications of AI in healthcare, clinical trials, and translational research.

Anna Fournier joined SDSC in 2019 as a Data Scientist focusing on industry collaborations. She completed her PhD in Bioinformatics at the University of Luxembourg, where she analyzed large-scale heterogeneous datasets and leveraged multiple disciplines: Statistics, Network Analysis, and Machine Learning. Prior to joining SDSC, Anna worked as a Data Scientist at Deloitte Luxembourg, with a focus on computer vision and time-series analysis. Currently, Anna is a Principal Data Scientist based at the ETH Zurich office, where she leads biomedical collaborations with industry partners. Anna works on a range of projects in the Health & Biomedical domain, including protein properties prediction, biomanufacturing optimization and statistical model evaluation.