Call for Speakers Now Open Submit a Proposal ▶

Reinventing Biologic Drug Development with AI Guided Design

Call for Speakers Now Open

The third annual PEGS AI Summit, launched as the BioLogic Summit in 2025, will train and guide the growing community to empower the new research paradigm of integrating AI/ML and computational tools into the complex world of biologic drug discovery and protein engineering. This field is growing exponentially and PEGS AI will allow participants to take an active role in planning the future direction for the industry. More than 2,200 delegates have attended an AI/ML  program at PEGS Boston or PEGS Europe since 2021!

AI/ML has transformative potential and is being used in all stages of the biologic pipeline, from discovering new biology and generating hypotheses, identifying new targets, addressing challenging targets, pioneering new approaches in de novo design, optimizing drug candidates, defining properties to determine developability early on, maximizing safety profiles, and advancing complex biologics to the clinic.

The event features four conference tracks, luminary plenary keynotes, moderated small-group discussions, and three one-day training seminars to meet the needs of participants at every level. We welcome you to join this important nexus to learn from conversations with leaders in the community about the near-term implementation and implications of machine learning tools and AI technologies in pharma and biotech.

While most speakers will be invited, if you would like to be considered for a podium presentation, please submit a speaker proposal by July 3.

Submit a Speaker Proposal
Register Early and Save
View Brochure
Become a Sponsor/Exhibitor

2026 PLENARY KEYNOTES

Stephanie Truhlar, PhD

New Frontier of Biotherapeutic Discovery: Where Machine Learning Meets Molecular Design

Stephanie Truhlar, PhD
Eli Lilly & Company

Andrew Nixon, PhD

Incorporating in silico Tools into Antibody Discovery: Challenges and Opportunities

Andrew Nixon, PhD
Boehringer Ingelheim Pharmaceuticals

Charlotte Deane

AI for Antibody Design - Going Beyond the Static

Charlotte Deane, PhD
University of Oxford

Peyton Greenside, PhD

Designing the Next Generation of Biologics with Enhanced Functionality Using Machine Learning and a Rapid Iteration Wet Lab

Peyton Greenside, PhD
BigHat Biosciences

Peter Tessier, PhD

Redesigning Antibody CDRs to Improve Developability Properties Using Machine Learning

Peter Tessier, PhD
University of Michigan

2027 Corporate Sponsors

Immuto
View All Sponsors »

HIGHLIGHTS FROM LAST YEAR

2025 Video Highlight - Alissa Hummer, DPhil
2025 Photo Gallery
2025 Video Highlight - Monica Fernandez-Quinteros, PHD
Interactive Elements Live at PEGS AI

Interactive Elements at PEGS AI

In addition to podium presentations, this event will include a significant number of interactive elements, including moderated discussions, and single day training seminars. Interactive forums play an integral role in facilitating networking with potential collaborators and provide an opportunity to be part of a group problem-solving endeavor.