Summary
Cameron Shand is a Senior Machine Learning Engineer at the Francis Crick Institute with eight years’ experience building and scaling ML models to accelerate biomedical research. He brings a PhD in Computer Science and a strong academic track record from UCL and Manchester, where he developed novel unsupervised disease progression models with uncertainty quantification and outlier detection. Cameron combines research rigor with production instincts—containerised MRI pipelines, maintained open-source libraries, and interactive web tools he built have been used to analyse cohorts and clinical trials. He has a history of mentoring students and leading hackathons, translating complex neuroimaging problems into practical, reproducible workflows. Notably, his work spans explainable ML for metagenomics to multimodal neuroimaging, reflecting a rare blend of domain knowledge and engineering discipline. Based in London, he focuses on turning cutting-edge ML research into reliable tools that directly impact biomedical discovery.
8 years of coding experience
8 years of employment as a software developer
Gravesend Grammar School
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at The University of Manchester
University College London
English, German