In-Vivo Antibody Discovery Masterclass: Unlocking Immunization Data & Maturation Pathways

​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 identify emergent clones and immune responses
  Perform repertoire-wide clustering and motif-level analysis to uncover convergent antibodies and track immune responses across selection rounds

• ​​Techniques to track clone dynamics with clarity
  Monitor clonal expansion over time or across experimental arms (e.g., immunization strategy, treatment group, timepoint) to confidently identify winning candidates

• ​​Approaches to tracing B-cell maturation and affinity evolution

• ​​Explore SHM-driven lineage trees to track clonal diversification, maturation trajectories, and the emergence of high-affinity antibodies

• ​​How to streamline lead selection without coding
  Apply real-world workflows to efficiently narrow hundreds or thousands of sequences down to best-in-class antibody leads

• ​​Insights into how leading pharma and 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