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experimental and computational researchers working on AI-driven protein engineering and design. The group combines computational modelling, deep unsupervised learning and experimental validation to understand
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flexible fitting of mechanistic and statistical models to the data. Our current focus is on generating datasets of sufficient size and diversity to train machine learning models to accurately predict how
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