Tuesday March 10Tuesday, 10 March 2026 - PT (Pacific Time, GMT-08:00)

• Digital Twin integrates data, models, and process understanding from development through GMP manufacturing.
• Transitioning from post-run analysis to live predictive monitoring and control closes the loop between insight and action.
• Robust data integrity, model validation, and lifecycle management enable regulatory readiness and trust.
• Building model literacy and cross-functional collaboration across R&D, MSAT, QA, and Operations to ensure sustainable technology adoption and culture alignment.

Lab robotics are currently impaired from realizing their true potential to be zero-touch, high-throughput, tireless machines. Automation specialists, software developers, and scientists must work together for months to stand-up workflows that still need constant monitoring. At Genentech, we are working on this digital transformation challenge by experimenting with LLMs to translate 'traditional' protocols into machine-executable instructions and AI agents to orchestrate complex workflows. In this talk, I'd like to share our progress and ideas for how lab robotics can be unleashed to democratize automated experiments, ensure better error recovery, and execute workflows across different labs and instruments on demand.