Charlie Laughton is a Professor of Computational Pharmaceutical Science with over 30 years of expertise in computational modelling, informatics, and drug discovery, currently leading research and teaching at the University of Nottingham. He specialises in developing software tools for data analysis, validation, and scalable high-throughput/high-performance computing workflows that bridge biomolecular science and practical drug development. His career progressed from molecular modelling leadership at The Institute of Cancer Research to senior academic roles, reflecting deep domain knowledge in molecular recognition and drug design. Charlie also applies his data science expertise in industry through DAMSL Ltd, offering training and consultancy that translate academic methods into business-ready products. Trained at the University of Oxford (DPhil, MA, BA in Chemistry), he combines rigorous chemistry foundations with decades of computational practice, often focusing on reproducibility and validation—an underappreciated keystone of his tool development work.
11 years of coding experience
16 years of employment as a software developer
DPhil and MA, Organic Chemistry, DPhil and MA, Organic Chemistry at University of Oxford
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