Mass spec data digital transformation at Lilly Biologic Discovery

Thursday, June 11 at 16:00 BST | 17:00 CEST | 11:00 EDT | 08:00 PDT

Mass spectrometry (MS) now produces richer, more complex datasets than ever, offering biopharmaceutical teams new opportunities to deepen biological insight and accelerate discovery. Unlocking this potential requires transforming raw MS outputs into structured, automated, and analysis‑ready data that can support scalable workflows, reproducible analytics, and AI‑driven prediction models.

In this SelectScience^® webinar, learn from Dr. Joomi Ahn, Senior Director at Eli Lilly, as she shares how the Biologic Discovery Mass Spectrometry group implemented Genedata Expressionist to build an integrated digital ecosystem. By connecting electronic lab notebooks, liquid‑handling automation, and custom artificial intelligence and machine‑learning tools, the team achieved 3–10× productivity gains.

By registering for this webinar, you will hear first‑hand how these capabilities now enable high‑throughput intact mass analysis, bispecific assembly checks, and stability peptide mapping. This flexible, vendor‑neutral foundation can help teams accelerate their workflows and unlock insights that drive the next wave of biologic drug discovery.

What will this webinar cover?

• How to standardize MS workflows across sites with a scalable, vendor-neutral, flexible platform
• How to automate end-to-end MS processes to increase productivity, data integrity, and knowledge access
• How to integrate wet and digital labs to shorten developability timelines for any new and hybrid modality
• How to leverage sequence liability prediction and automated stability reporting to accelerate drug candidate selection

Who should attend?

• Analytical scientists and innovation leaders looking for scalable, vendor-neutral ways to standardize and automate MS workflows across labs and sites.
• Developability and CMC characterization stakeholders using MS data and digital platforms to streamline biologics discovery and development, reduce optimization cycles, and accelerate timelines.
• VP/Director-level biopharma leaders building digital foundations in R&D and evaluating how AI and digital tools can accelerate timelines and deliver measurable impact.
• IT, informatics, and scientific software developers integrating legacy systems, enabling scalable infrastructure, and delivering user-friendly tools that strengthen scientific workflows.

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.

Webinar details

• Cost: Free to attend
• Location: Online
• Duration: 60 minutes

Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on‑demand recording once it becomes available.