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.






For more details on the conference, please contact:

Kent Simmons
Senior Conference Director
Cambridge Healthtech Institute
Phone: (+1) 207-329-2964
Email: ksimmons@healthtech.com

For sponsorship information, please contact:

Companies A-K
Jason Gerardi
Sr. Manager, Business Development
Cambridge Healthtech Institute
Phone: (+1) 781-972-5452
Email: jgerardi@healthtech.com

Companies L-Z
Ashley Parsons
Manager, Business Development
Cambridge Healthtech Institute
Phone: (+1) 781-972-1340
Email: ashleyparsons@healthtech.com