AI in Life Sciences: Protein Representation and Autonomous Labs

Description
This event explores the intersection of applied machine learning, computational biology, and wet-lab automation. The sessions will cover three critical layers of modern in silico research: representation learning for aligning molecules and proteins in a shared vector space, genome-scale language modeling capable of interpreting sequences over a 2-million base pair context window, and agentic platforms that synthesize fragmented scientific literature into actionable experimental layouts. Designed for researchers, engineers, and technical product managers in drug discovery and…

Hosted by Ilya Kulyatin & Ewa Szyszka