Harnessing ML/AI for the Design & Optimization of Biotherapeutics

Call for Speakers Now Open

The Second Annual BioLogic Summit, presented by the experienced team behind PEGS and PepTalk, will bring together the biologics community to unlock the potential of ML/AI in design and development. The Summit is designed to address the needs of the growing community of hybrid scientists that will empower this new research paradigm: experimentalists now working with ML/AI and computational tools, and data scientists adapting to the complex world of biologic drug discovery and protein engineering. The event will feature two 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.

Additional agenda topics will include:

• AI-based physics models and MD simulations
• Applying de novo design to proteins, peptides, mini-proteins and novel scaffolds 
• Best practices for the interface of wet lab and data science 
• Co-scientist/agentic models
• Consortium efforts to develop shared datasets
• Emerging model architectures (graph neural networks, transformers, causal inference)
• Employing ML/AI and computational models to optimization and developability
• Measuring the impact of ML/AI on speed and quality of discovery and engineering workflows
• Iterative data generation with active learning/lab-in-the-loop approaches
• ML-ready considerations in assay development and experimental design
• Developing multi-parameter models incorporating sequence, structure and epitope information
• Screening and designing candidates in silico