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.
2026 PLENARY KEYNOTES

New Frontier of Biotherapeutic Discovery: Where Machine Learning Meets Molecular Design
Stephanie Truhlar, PhD
Eli Lilly & Company

Incorporating in silico Tools into Antibody Discovery: Challenges and Opportunities
Andrew Nixon, PhD
Boehringer Ingelheim Pharmaceuticals

AI for Antibody Design - Going Beyond the Static
Charlotte Deane, PhD
University of Oxford

Designing the Next Generation of Biologics with Enhanced Functionality Using Machine Learning and a Rapid Iteration Wet Lab
Peyton Greenside, PhD
BigHat Biosciences

Redesigning Antibody CDRs to Improve Developability Properties Using Machine Learning
Peter Tessier, PhD
University of Michigan

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.
Become a Sponsor
Whether you’re targeting the entire conference community of life sciences, pharmaceutical, clinical, healthcare, and IT professionals, a topic-specific community, a specific individual, or high-level decision makers, we offer a variety of methods to access our esteemed delegates. Explore our sponsor or exhibitor packages which offer a wide range of platforms to launch products, gain exposure, collect feedback, network and generate new leads.
