Summer School Program
Two days of talks, discussions, and networking at the intersection of AI and scientific discovery.
Day 1 — July 16
Molecules, Mathematics & Earth
Registration
Petros Koumoutsakos
Opening Remarks
Alexis Boukouvalas
Unlocking Scientific Breakthroughs with AI: From Earth Observation to the Stars
Stratis Markou
Tropical cyclone forecasting at Google
Elías Cueto
Recent advances in geometric and topological deep learning for the simulation of physical phenomena
Lunch Break
Alexandre Tkatchenko
AI-Enabled Quantum Molecular Simulations Beyond AlphaFold and Empirical Potentials
Julija Zavadlav
Machine Learning 4 Molecular Simulations
Lara Roman Castellanos
ML methods for the quantum description of matter: from materials to exoplanets
Coffee Break
Zoi Tsangalidou
Agentic workflows in the Life Sciences
Risha Patel
The Ecosystem for Partnerships in Life Sciences AI
Adam Zsolt Wagner
Searching in language space to find constructions in mathematics
Break (Transition to Lightning Talks)
Day 2 — July 17
Life Sciences & AI Methodologies
William Freeman
Imaging for Science
Ivo Sbalzarini
Physically and numerically consistent data-driven modeling in biology
Natasha Latysheva
AI for Genomics
Lunch Break
Andrea Manzoni
Unveiling the latent space: deep learning for reduced order modeling, discovery and control of large-scale systems
Angelos Filos
Science-as-Code
Eleni Chatzi
Monitoring for Resilience and Data-driven Decision Support
Coffee Break
Ryutaro Tanno
Conversational Medical AI with Eyes, Ears and a Voice
Alexandra Chronopoulou
LLM Evaluation: Rubric-Based Benchmarking and Structural Breakdown of Overthinking
Conversational Panel on AI for Science
Coordinator: Yannis Assael
Panelists