Programme
All talk slots include time for discussion.
- Standard talks: 25 min presentation + 5 min Q&A
- Short talks: 15 min presentation + 5 min Q&A
- Shared talks: 20 min combined presentation + 10 min Q&A
29 September 2026
| Time | Session |
|---|---|
| 09:30–10:00 | Registration |
| 10:00–10:10 | Opening remarks |
| 10:10–10:40 | Dr. Alessandro Bonetti Therapeutic discovery and industry perspectives |
| 10:40–11:10 | Dr. Mikhail Kabeshov Therapeutic discovery and industry perspectives |
| 11:10–11:40 | Coffee break |
| 11:40–12:10 | Fabio Bove + Marco Ferrarini AI-driven therapeutic discovery |
| 12:10–12:40 | Dr. Gabriele Corso Generative models and biological design |
| 12:40–13:10 | Dr. Esther Wershof Machine learning for cell-state biology |
| 13:10–14:10 | Lunch |
| 14:10–14:40 | Dr. Fabian Frohlich Disease modelling and cellular systems |
| 14:40–15:10 | Dr. Michail Mamalakis From Genes to Brain Imaging: Interpretable and Adaptable AI for Understanding Brain Disease |
| 15:10–15:40 | Dr. Tiansi Dong Foundation models and representation learning |
| 15:40–16:10 | Coffee break |
| 16:10–16:40 | Dr. Larry Melidis Computational biology and therapeutic discovery |
| 16:40–17:10 | Dr. Anurag Limdi Machine learning for molecular and biomedical data |
| 17:10–17:40 | Tom McClelland The Problem of Artificial Consciousness |
| 17:40–18:00 | General discussion / wrap-up |
30 September 2026
| Time | Session |
|---|---|
| 09:30–09:50 | Dr. Johann Hawe Machine learning for biomedical data |
| 09:50–10:10 | Dr. Ilaria Billato Single-cell and multimodal data analysis |
| 10:10–10:30 | Dr. Bianca Pierattini Cell-state modelling and biological regulation |
| 10:30–11:00 | Coffee break |
| 11:00–11:20 | Dr. Tania Bobbo Machine Learning for Probiotics Discovery: The PROB-AI Project |
| 11:20–11:40 | Dr. Davide Rigoni Omics data analysis and biological modelling |
| 11:40–12:00 | Flavio Sartori Scoring Tissue Health from Microscopy to Enable Causal Analysis in Dry AMD |
| 12:00–13:00 | Lunch |
| 13:00–13:20 | Matteo Baldan Learning to Simulate: Neural Operators and the Generation of Physical Dynamics with Applications in Cardiac Electrophysiology |
| 13:20–13:40 | Massimiliano Caretti Title to be announced |
| 13:40–14:00 | Andrea G. Di Francesco RAG Beyond NLP: Learning Relevant Context for Cellular Prediction |
| 14:00–14:20 | David Miller Emerging research talk |
| 14:20–14:40 | Salvatore Romano Emerging research talk |
| 14:40–15:10 | Coffee break |
| 15:10–15:30 | Andrea Rubbi Emerging research talk |
| 15:30–15:50 | Wageesha Widuranga Emerging research talk |
| 15:50–16:20 | Discussion: future directions in generative models for therapeutic discovery |
| 16:20–16:35 | Closing remarks |