Program

We are in the process of refining the agenda below, and additional details will be added here.

Agenda

  • Welcoming breakfast

  • Session 1 – Fundamentals of Large Language Models (LLMs)
    • Introduction to Natural Language Processing and LLMs, by Prof. André Martins (Instituto Superior Técnico Lisbon)

  • Perspective talk

  • Lunch break

     

  • Session 2 – LLMs in biomedicine
    • LLMs for single cell, by Prof. David van Dijk (Yale School of Medicine)
    • LLMs multiagents, by Prof. Michael Moor (ETH Zurich)
    • LLMs in clinics, by Dr. Jean-Louis Raisaro (CHUV/UNIL)

  • Networking event
  • Session 1 – Fundamentals of Computer Vision
    • Introduction to Computer Vision

  • Perspective talk, by Prof. Daniel Truhn, University Hospital Aachen

  • Lunch break

     

  • Session 2 – Computer vision for biomedical imaging
    • Computer vision for radiology, by Dr. Jonas Richiardi (CHUV/UNIL)
    • Computer vision for biomedical imaging, by Prof. Marianna Rapsomaniki (UNIL/CHUV) & Prof. Charlotte Bunne (EPFL)
  • Session 1 – Introduction to Generative AI

  • Perspective talk, by Dr. Jörn Jakobsen (Isomorphic labs)

  • Lunch break

     

  • Session 2 – Generative AI for Science
      • GenAI for drug discovery, by Prof. Bruno Correia (EPFL)
      • GenAI in single cell and tissue biology, by Dr. Mo Lotfollahi (Wellcome Sanger Institute) & Prof. Maria Brbic (EPFL)

  • Social activity
  • Session 1 – Fundamentals of causality
    • Introduction to causal inference, by Prof. Miquel Serra Burriel (University of Zurich)

  • Perspective talk, by Dr. Fulvio Michelis (Merck Group)

  • Lunch break

  • Session 2 – Causality in biomedicine, by Prof. Caroline Uhler (MIT) & Dr. Hana Aliee (Sanger Institute)

  • Social activity
  • Session 1 – Fundamentals of graph AI
    • Introduction to graph machine learning, by Dr. Dorina Thanou (EPFL)

  • Perspective talk

     

  • Barbecue lunch

     

  • Session 2 – Graphs in biomedicine
    • Graphs in medicine, by Prof. Pietro Lio (University of Cambridge)
    • Generative modeling for biology, by Prof. Alex Tong (Québec AI Institute)

       

  • Concluding the week: insights and certificates

Thank you to our sponsors