Episode: 73 - PANEL DISCUSSION: Near-Term Challenges for AI/ML in Biotherapeutic R&D episode artwork

EPISODE · Jun 10, 2025 · 1H 1M

Episode: 73 - PANEL DISCUSSION: Near-Term Challenges for AI/ML in Biotherapeutic R&D

from The Chain: Protein Engineering Podcast · host Cambridge Healthtech Institute

June 10, 2025 | This episode of The Chain features a panel discussion from May’s PEGS Boston. Moderated by Peter Tessier, Albert M. Mattocks professor of Pharmaceutical Sciences and Chemical Engineering at the University of Michigan, the panelists include Sarel Fleishman, professor of Biomolecular Sciences at the Weizmann Institute of Science; Kadina Johnston, senior specialist of Discovery Biologics at Merck & Co.; Vincent Ling, chief business officer of Morphocell Technologies; Arvind Rajpal, SVP of Xaira; and Max Vasquez, chief computing officer of Adimab. Together they discuss benchmarking AI/ML methods compared to traditional approaches, development of human-relevant training data, identifying and addressing core challenges in de novo designs, and more. Links from this episode:  PEGS Boston Conference & Expo Engineering Bispecific Antibodies University of Michigan University of Michigan Chemical Engineering Weizmann Institute of Science Scala Biodesign Merck & Co., Inc. Morphocell Technologies Bill & Melinda Gates Foundation Xaira Adimab LLC 

Episode metadata supplied by the publisher feed · Published Jun 10, 2025

Embed this episode

June 10, 2025 | This episode of The Chain features a panel discussion from May’s PEGS Boston. Moderated by Peter Tessier, Albert M. Mattocks professor of Pharmaceutical Sciences and Chemical Engineering at the University of Michigan, the panelists include Sarel Fleishman, professor of Biomolecular Sciences at the Weizmann Institute of Science; Kadina Johnston, senior specialist of Discovery Biologics at Merck & Co.; Vincent Ling, chief business officer of Morphocell Technologies; Arvind R...

Distinct summary based on available episode metadata or transcript content.

Ready to play

Episode: 73 - PANEL DISCUSSION: Near-Term Challenges for AI/ML in Biotherapeutic R&D

0:00 1:01:21

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of The Chain: Protein Engineering Podcast?

This episode is 1 hour and 1 minute long.

When was this The Chain: Protein Engineering Podcast episode published?

This episode was published on June 10, 2025.

Can I download this The Chain: Protein Engineering Podcast episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!