Cambridge Healthtech Institute’s 5th Annual
Machine Learning for Protein Engineering
Streamlining Biologic Development
May 14-15, 2026
The use of ML/AI tools and modeling is enabling a vastly different process of drug development that is optimized for efficiency and success at every step of the biologics pipeline. Cambridge Healthtech Institute's 5th annual Machine Learning for Protein Engineering conference at PEGS Boston will provide an overview of tools being used in the industry with use cases and real examples of large-scale validation and implementation successes, as well as tips for overcoming challenges. Newly evolved developability metrics will employ the best proxies of success and correlate their use with real results. This conference will cover key advancements in algorithm development, generative language models and evaluation, and data-driven decision-making, providing researchers with tools to enable prediction with greater accuracy and efficiency. These techniques promise to transform discovery, prediction, developability, simulation, and optimization of biologics.
Coverage will include, but is not limited to:
- Adapting machine learning/AI, modeling, and computational tools to expedite antibody discovery and optimization
- Evolving lab-in-the-loop to include human-in-the-loop
- Guiding optimization, rules, and benchmarks for developability with ML/AI
- Driving design with in silico tools
- Using ML/AI in multispecifics and novel scaffolds
- Improving developability metrics through standardization, controls, and reproducibility
- Designing computational models of human antibodies, proteins, and mini-binders
- Creating training sets and leveraging federated learning
- Learning from use cases, benchmarking studies, and success stories of ML/AI
- Employing and scaling generative-protein language models
- Implementing agentic systems
The deadline for priority consideration is October 17, 2025.
All proposals are subject to review by session chairpersons and/or the Scientific Advisory Committee to ensure the overall quality of the conference program. Additionally, as per Cambridge Healthtech Institute’s policy, a select number of vendors and consultants who provide products and services will be offered opportunities for podium presentation slots based on a variety of Corporate Sponsorships.
Opportunities for Participation: