In-Vitro Antibody Discovery Masterclass: Mining Display Libraries for Top Leads

​In today’s fast-moving therapeutic landscape, antibody discovery teams need to make lead decisions earlier without being slowed down by fragmented tools or complex, custom bioinformatics pipelines.

​This masterclass is designed for scientists and discovery leaders who want to go beyond theory and learn practical, best-in-class approaches to prioritizing antibody leads and de-risking programs early. Through real-world examples and end-to-end workflows, you’ll learn how top pharma and biotech teams move from raw sequencing data to high-quality antibody candidates—faster and with greater confidence.

​What you’ll learn:

• ​How to perform clustering and motif-level analysis to uncover emergent clones and immune responses across selection rounds

• ​Techniques to track enrichment and liabilities, monitor clone dynamics over time or between arms (immunization, treatment, timepoint), and identify convergent B-cell responses

• ​Approaches to prioritizing candidates based on developability to identify risk early

• ​Real-world workflows for lead selection, efficiently moving from hundreds or thousands of sequences to best-in-class antibody leads without coding

• ​Insights into how top pharma/biotech teams streamline antibody discovery and optimize their workflows for faster results

​Who should attend:

• ​Biologists, immunologists, scientists working on in-vitro antibody discovery

• ​Bioinformaticians and computational biologists seeking to reduce bottlenecks in their analysis

• ​Project leads and decision‑makers in biotech/pharma who want to streamline the antibody‑lead pipeline, reduce risk and time‑to‑lead