Program

Agenda

  • 8:00 – 9:00: Welcoming breakfast

  • 9:00 – 10:45: Session 1 – Fundamentals of Large Language Models (LLMs)
    • “Language Models: Past, Present, and Future” – Prof. André Martins (Instituto Superior Técnico Lisbon)

  • 11:00 – 11:45: “Towards a System for Rational Drug Design with AI”, by Vincent Stimper (Isomorphic labs)

  • 11:45 – 13:15: Lunch break

  • 13:15 – 16:00: Session 2 – LLMs in biomedicine
    • “Bringing AI to the clinic: from predictive AI to LLMs” – Prof. Jean-Louis Raisaro (CHUV/UNIL)

    • “Towards tool-augmented medical reasoning models” – Prof. Michael Moor (ETH Zurich)

      30 min break

       

    • “Causality – Exploiting multi-modal data” Prof. Caroline Uhler (MIT)

  • 17:30: Pitch & Pizza: The 180-Second Challenge (Room ELA 2)
  • 9:00 – 10:45: Session 1 – Fundamentals of Computer Vision
    • “Computer Vision: From Classical Methods to Transformers and back” – Prof. Pascal Fua (EPFL)

  • 11:00 – 11:45: “Intelligent Agents in Medical AI: from Radiology to Multimodal Mastery”, by Prof. Daniel Truhn, University Hospital Aachen

  • 11:45 – 13:15: Lunch break

  • 13:15 – 16:00: Session 2 – Computer vision for biomedical imaging
    • “Enhancing stroke management with AI for acute imaging: from model development to clinical validation” – Dr. Jonas Richiardi (CHUV/UNIL)

    • “Foundation Models and Beyond for Multiplex Imaging in Biomedical Research” – Prof. Charlotte Bunne (EPFL)

      30 min break

       

    • “Virtual Stains, Real Illusions: accelerating histopathology with virtually multiplexed staining” – Prof. Marianna Rapsomaniki (UNIL/CHUV)

  • 16:00 – 17:00: Networking session

  • 17:00: Social activity
  • 9:00 – 11:45: Session 1Workshop on Advanced LLM applications and Agentic Systems – by the Swiss Data Science Center (Valerio Rossetti, Ivan Sieverin, Thibaut Loiseau & Andrea Spinella)

  • 11:45 – 13:15: Lunch break

  • 13:15 – 16:00: Session 2 – Generative AI for Science
      • “Tissue reassembly with generative AI” – Prof. Maria Brbic (EPFL)

      • Prof. Bruno Correia (EPFL)

        30 min break

         

      • “Generative modeling to predict cellular responses to perturbations” – Dr. Mo Lotfollahi (Wellcome Sanger Institute) – Online

  • 16:00 – 17:00: Networking session

  • 17:00: Social activity
  • 9:00 – 10:45: Session 1 – Fundamentals of causality
    • “The basics of causality: applications in health and medicine” – Prof. Miquel Serra-Burriel (University of Zürich)

  • 11:00 – 11:45: “AI enhances value generation in ecosystems around the drug” – by Dr. Fulvio Michelis (Merck Group)

  • 11:45 – 13:15: Lunch break

  • 13:15 – 14:00: Session 2 – Causality in biomedicine
    • “Reasoning and Generative Modeling in Single-Cell Genomics for Disease Study” – Dr. Hana Aliee (Cancer Research UK, Cambridge Institute)

       

  • 14:00 – 14:45: Perspective Talk
    • “Paragliding with AI: Multimodal Adventures in RNA Biology and Digital Pathology” – Prof. Raphaëlle Luisier (University of Bern)

  • 14:45 – 15:30: Networking session

  • 16:00: Social activity
  • 9:00 – 11:45: Session 1 – Fundamentals of graph AI
    • “A short introduction to graph machine learning” – Prof. Xiaowen Dong (University of Oxford)

    • Prof. Pietro Lio (University of Cambridge)

  • 12:00 – 14:00: Barbecue & Grill lunch

  • 14:00 – 15:30: Session 2 – Graphs in biomedicine
    • “Geometric optimal transport: Applications to single-cell and protein backbone generation” – Prof. Alex Tong (Québec AI Institute)

    • “Where structure meets biology: Graph AI for biomedicine” – Dr. Dorina Thanou (EPFL)

  • 15:30: Concluding the week: insights and farewell

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