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 ALL TIMES WET (GMT/UTC)
The 2025 Machine Learning for Protein Engineering Part 1 track will explore the expanding role of AI and ML in revolutionizing protein design and optimization. This track 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.
Recommended Short Course*
Monday, 4 November, 14:00 – 17:00
SC4: In silico and Machine Learning Tools for Antibody Design and Developability Predictions
*Separate registration required. See short courses page for details. All short courses take place in-person only.