Cambridge Healthtech Institute’s 4th Annual
Machine Learning for Protein Engineering Part 2
Demonstrating Value and Putting Theory into Practice
13 November 2025 ALL TIMES WET (GMT/UTC)
Cambridge Healthtech Institute's Machine Learning for Protein Engineering Part 2 track at PEGS Europe examines and measures the real impact of using ML/AI techniques by developing benchmarks, experimental validation, data curation, standards, and controls to guide the process for implementing these tools throughout the drug discovery and development pipeline. Case studies comparing experimental approaches with computational and machine learning approaches will shed light on how to adapt and utilize them for discovery, prediction, developability, simulation, and optimization of biologics.
Scientific Advisory Board
M. Frank Erasmus, PhD, Head, Bioinformatics, Specifica, Inc.
Victor Greiff, PhD, Associate Professor, Oslo University Hospital and Director, Computational Immunology, IMPRINT
Maria Wendt, PhD, Global Head of Preclinical Computational Innovation Strategy, Research Platforms, R&D, Sanofi
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.