AI in Antibody Discovery:
From In Silico Analysis to AI-enabled Data Management

Date
Thursday, February 20, 2025Thu, Feb 20, 2025
Duration
60 min
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About this webinar

This webinar will explore how AI is revolutionizing antibody sequence prediction, optimizing candidate selection and simplifying the handling of complex datasets in research and development workflows.

Explore how AI and bioinformatics are reshaping antibody discovery from in silico design to efficient data management. This webinar highlights practical applications of AI in optimizing antibody sequence prediction, streamlining candidate selection and managing complex datasets in R&D workflows.

Attendees will gain insights into how data-driven approaches are improving decision-making and accelerating timelines in therapeutic and diagnostic antibody development.

Who should attend

This webinar will appeal to those working in antibody discovery or curious about how AI and bioinformatics are making R&D smarter and faster.

What you will learn

Attendees will learn about:
  • AI’s role in antibody sequence design and optimization
  • How AI-driven data management can enhance R&D efficiency
  • Practical case studies of AI applications in antibody discovery

Featured Speakers

Jannick Bendtsen, Head of PipeBio, Benchling

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

Scientific Solutions Consultant · Benchling

Previously at PipeBio, 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.

Habib Bashour, PhD, Scientific Content Creator, Benchling

Habib Bashour, PhD

Scientific Content Creator · Benchling

Habib is a skilled bioinformatician specializing in computational immunology and antibody research, with expertise in curating and analyzing complex biological data. With experience working in global research organizations to drive impactful scientific outcomes, he aims to spread scientific knowledge and improve the healthcare ecosystem.

Partner for this event

Benchling

Benchling is a cloud-based platform for biotechnology research and development. Benchling helps scientists accelerate the full R&D lifecycle with our R&D Cloud, which consists of data, collaboration, and insights built on a trusted and open platform.

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