WEBINAR

From Data to Decisions in Antibody Discovery: Integrating AI/ML

Register for our upcoming webinar on integrating AI/ML workflows to drive smarter antibody selection, developability triage, and lead optimization.

Webinar Overview:

AI/ML is reshaping antibody discovery, not by replacing the lab, but by making every wet-lab cycle smarter.

In this webinar, Alloy will share practical, production-grade AI/ML workflows for candidate selection, developability triage, and optimization. We’ll cover what works today, what doesn’t, and how integrated data infrastructure and high-throughput make-test loops turn models into compounding advantage. We’ll close with a grounded view of de novo design and the experimental datasets required to make next-generation generative methods reliable across targets.

In this on-demand webinar, you will learn:

How AI/ML workflows integrate with wet-lab cycles to improve selection and triage decisions
Practical approaches to developability assessment using in silico tools
How high-throughput make-test loops create compounding advantage across optimization cycles
A grounded view of de novo design and the experimental datasets required to make next-generation generative methods reliable across targets

Meet the speakers

Cédric Weber

Senior Director of Data Science and Bioinformatics at Alloy Therapeutics

Simon Friedensohn

Senior Director, Machine Learning & Data Engineering at Alloy Therapeutics

Register for our webinar

Please complete the form below to register for our live webinar.