8^th SCS-Syngenta Symposium 2026

IOur program highlights these breakthroughs, featuring generative models for small molecule generation, de novo protein design, AI-guided retrosynthesis and cutting-edge machine learning approaches to property prediction. These technical sessions are grounded in real-world examples of how augmented workflows are currently accelerating discovery in both academic and industrial settings.

 

• Prof. Patrick Bryant, Stockholm University
• Prof. Leroy Cronin, University of Glasgow
• Prof. Abigail G. Doyle, UCLA
• Dr. Teo Laino, IBM Zurich
• Prof. Martin Pačesa, University of Zurich
• Dr. Nadine Schneider, Novartis
• Prof. Philippe Schwaller, EPFL Lausanne