Exploring an AI-native approach to antibody discovery
Thursday, December 11, at 16:00 GMT | 17:00 CET | 11:00 EST | 08:00 PST
Artificial intelligence (AI) and machine learning (ML) are poised to significantly accelerate antibody discovery, but their impact depends on thoughtful integration into scientific workflows. For AI to deliver meaningful results, it must be underpinned by high-quality, structured data and a deep understanding of discovery workflows.
Hear from expert Dr. Jana Hersch, as she shares how an AI-native framework seamlessly integrates experimental, processed, and in silico data enabling real-time insights across diverse antibody modalities, including bispecifics, multispecifics, and antibody drug conjugates (ADCs). Learn how this platform can bring more clarity, speed, and intelligence to antibody discovery by supporting biopharma organizations in realizing the full potential of AI and ML in their R&D pipelines.
Key learning objectives:
- Learn new ways to integrate AI into antibody discovery workflows, including bispecifics, multispecifics, and ADCs.
- Explore approaches for unifying experimental, processed, and in silico data to support global research teams.
- Discover how agentic systems can interrogate complex datasets sourced from diverse systems.
Who should attend?
- Antibody and biologics R&D leadership
- Scientific and technical experts
- Data and digital specialists
Certificate of attendance
If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
If you view the on-demand webinar, you can request a certificate of attendance by emailing editor@selectscience.net.
Speakers
As Head of Corporate Scientific Engagement at Genedata, Dr. Jana Hersch leads initiatives that advance data, analytics, AI, and automation across the biopharma R&D landscape. Since joining Genedata in 2018, she has held key roles shaping product development, marketing strategy, and scientific communications. With a career spanning both academia and industry, Dr. Hersch has consistently focused on leveraging experimental data in the life sciences. She holds a PhD in Cell Biology from MIT and completed a postdoctoral fellowship at the Whitehead Institute for Biomedical Research, where she applied molecular biology and NGS technologies to uncover mechanisms of germ cell meiosis and regeneration.
Moderator
