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Final Days To Register

Demystifying AI/ML for Biologic Drug Development

Modeling and Prediction Stream

Models for De Novo Design

Models for de novo Design
Predicting Developability and Optimization Using Machine Learning

Predicting Developability and Optimization Using Machine Learning

Biotherapeutic R&D Stream

Machine Learning in Early Discovery

Machine Learning in Early Discovery
Training Data Generation and Quality

Training Data Generation and Quality
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SAVE $200 - Book by January 10
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2025 Plenary Keynotes

David A. Baker, PhD

2024 NOBEL LAUREATE
Design of New Protein Functions Using Deep Learning
David A. Baker, PhD
University of Washington

Rebecca Croasdale-Wood, PHD

Benchmarking and Integrating ML/AI Advancements in Biologics Discovery and Optimisation for Pharma
Rebecca Croasdale-Wood, PhD
AstraZeneca

Victor Greiff, PhD

The State of the Art for Antibody Structure Prediction
Victor Greiff, PhD
University of Oslo

Vladimir Gligorijević, PhD

ML-Powered "Lab-in-the-Loop" Approach for Therapeutic Antibody Discovery and Optimization
Vladimir Gligorijević, PhD
Genentech

Marissa Mock, PhD

Transforming Therapeutic Protein Engineering
Marissa Mock, PhD
Amgen Inc.

Final Days To Register

The inaugural BioLogic Summit, presented by the experienced team behind PEGS and PepTalk, aims to unite the biologics community in exploring the transformative potential of ML/AI in biologic design and development. The Summit has been designed to meet the needs of the growing community of hybrid scientists that will empower this new research paradigm: experimentalists now working with AI/ML and computational tools, and data scientists adapting to the complex world of drug discovery and protein science.

The event will feature a comprehensive program, including four conference tracks, luminary plenary keynotes, moderated small-group discussions, and two one-day training seminars to meet the needs of participants at every level. We welcome you to join this important meeting and participate in learnings and conversations about the near-term implementation of machine learning tools and AI technologies in pharma and biotech to enable predictive biologics.

Additional agenda topics will include:

  • Computational biology
  • de novo design
  • Deep learning
  • Large language models
  • Predictive biologics
  • Generative AI
  • Protein language models
  • Structure prediction
  • in silico screening
  • Federated data

Bring a team to San Diego and SAVE 20% with a Group registration.

Corporate Sponsors

ATUM Aureka_NEW

Interactive Elements at the BioLogic Summit

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.