Round Table: Building Effective AI-Enabled Design-Build-Test-Learn Workflows for Protein Engineering

• Generating high-quality experimental data to improve predictive protein design models
• Creating rapid feedback loops between computational design and wet-lab validation
• Integrating developability screening earlier in discovery to improve downstream success
• Lessons learned from combining machine learning and biologics discovery teams under one workflow

Speakers:

Vladimir Voynov

Head, Discovery Biologics

Fable Therapeutics