Cradle

AI changes how biologics are discovered. But that can pose a challenge for wet labs–from data requirements to speed of iteration. In this webinar, we will share some of the actual strategies we use to increase turnaround times while keeping data quality high.

Join Cradle bioengineers Michelle Vandeloo and Jack Cunha when they share their journey to faster protein rounds - from scaling from 48 variants to parallel 384-well rounds while cutting hands-on time up to 75%. You can also look forward to a hands-on discussion about how we designed our workcell to power our ML-driven protein engineering with our partner LAB Services.

Join us live on Oct 14, 2025 , 16:00h CEST (10AM EDT) 

We'll share practical protocols, automation setups, and real troubleshooting examples from our Amsterdam lab.

This webinar is most interesting for R&D leaders and experimental scientists across modalities - you’ll get a glimpse into our wet lab workflows and build an understanding of how we tackle lab workflows in an ML-driven protein engineering environment.

There will be a dedicated Q&A section. We would love to hear from you about your main challenges and questions our experts can answer during the webinar.

Please do not use your gmail to sign up. We will review webinar signups. Please register with your work email address - we will review and approve attendees and non-work or .edu emails will be auto rejected.

Lab automation for faster ML-driven protein engineering