In partnership with:
Date:
Jun 3, 2025, 3PM CET / 2PM BST
Overview:
This session highlights practical applications of AI in optimizing antibody sequence prediction, streamlining candidate selection, and managing complex datasets in R&D workflows. Gain insights into how data-driven approaches are improving decision-making and accelerating timelines in therapeutic and diagnostic antibody development.
What you will learn:
- Understand AI’s role in antibody sequence design and optimization.
- Learn how AI-driven data management can enhance R&D efficiency.
- Discover practical case studies of AI applications in antibody discovery.
Speakers:
Jannick Bendtsen
Head of PipeBio, Benchling
Previously at PipeBio as the Co-founder and CEO, Jannick Bendtsen, has nearly 20 years of experience in highly successful bioinformatics companies such as CLC bio and Geneious and an impressive scientific profile with more than 10k citations. He leads the PipeBio team, which aims to help companies cure diseases like cancer and COVID-19, by offering a cloud-based bioinformatics platform for faster antibody development.
Kris Modig
Scientific Solutions Consultant, Benchling
Kris Modig works as a Scientific Solutions Consultant at Benchling, supporting researchers in antibody discovery with automated bioinformatics solutions. His role involves helping scientists streamline their workflows through data automation and improving processes for managing analyze data for biotherapeutic discovery.
