Summary
Charlie Jeynes is a Principal Scientist bridging biochemistry, medical physics, and data science with eight years of experience applying NLP and knowledge graphs to accelerate drug discovery at Evotec. Trained as a PhD in biochemistry and nanotechnology, he began by functionalising carbon nanotubes for drug delivery and later led photothermal nanoparticle research that informed multimillion-pound grants and media coverage. He now engineers production-ready NLP pipelines and Dash apps to extract actionable biomedical insights from vast text corpora using tools like Hugging Face, spaCy, Neo4j and MongoDB. Comfortable with the full data lifecycle, Charlie combines model building, feature extraction and EDA with rigorous coding standards and Git-based workflows to deliver interpretable results to scientists. He has a track record of translating academic research into practical industry tools and consortium leadership, notably founding the GW4 Nanomedicine consortium. Based in the UK, he brings a rare mix of lab experience and production ML engineering that helps teams turn literature into decision-ready evidence.
8 years of coding experience
3 years of employment as a software developer
Biochemistry and Genetics, Biochemistry and Genetics at University of Wales, Cardiff
Doctor of Philosophy - PhD, Biochemistry and Nanotechnology, Doctor of Philosophy - PhD, Biochemistry and Nanotechnology at University of Surrey