Cambridge Healthtech Institute’s 4th Annual
Machine Learning for Protein Engineering Part 1
Advancing Protein Engineering with AI: Next-Generation Models, Data Strategies, and Applications
12 November 2025
The 2025 Machine Learning for Protein Engineering Part 1 conference will explore the expanding role of AI and ML in revolutionising protein design and optimisation. This conference will cover key advancements in algorithm development, model evaluation, and data-driven decision-making, providing researchers with tools to enhance predictive accuracy and experimental efficiency. Attendees will gain insights into the challenges of working in low-data environments, the integration of active learning strategies, and the evolution of multimodal models. Discussions will also extend to cutting-edge applications, from clinical biology to modeling undruggable targets, highlighting how ML is shaping the future of biologic discovery and therapeutic development.
Coverage will include, but is not limited to:
The ML Model and Algorithm Toolkit
- Dashboards and ecosystems for model deployment
- Experiment tracking for AI/ML projects
- Method development for new models and algorithms
- Models 101: evaluation, evolution, architecture, training, and validation
- Multimodal models
- The value of adopting (or not) new foundation models and versions
Active Learning and Training Data Generation
- Achieving biological ML in a low-data environment
- Design of active learning experiments (design-build-test-learn)
- Evaluating data needs; how much and what kind, how much is enough
- Fine-tuning models with training data
- The roles of public domain, consortia, and internally developed datasets
- Use cases of closed loop data and model evolution for de novo design and optimisation projects
Next Generation Applications of AI/ML
- Design and engineering of complex antibody modalities
- Enabling applications in clinical biology
- Extending de novo design and optimisation to non-antibody biologics
- Knowledge graphs for predicting target combinations
- Modeling with cryoEM structure data
- Solving undruggable targets
- Target identification and validation
The deadline for priority consideration is 28 March 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: