Lab automation for faster ML-driven protein engineering

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.

We’ll discuss

• Why wet labs are critical for ML-driven protein engineering

• Upstream and downstream challenges in ML-driven protein engineering environments

• Strategies to improve workflows beyond just lab instruments

• Designing an ML-ready workcell

• How we scaled throughput from 48 variants to parallel 384-well rounds

• Case study: Fixing our purification process

• Live Q&A

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

Who is this for?

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.

Speakers

• Michelle Vandeloo (Research Associate, Cradle)

• Jack Cunha (Lab Automation Engineer, Cradle)

• Tim Verweij (Global Automation Expert, Lab Services)