Robbie Holland is a postdoctoral researcher at Stanford University specializing in multimodal AI to accelerate hypothesis generation and tackle large-scale medical questions. He completed a PhD on deep learning for automated diagnosis and biomarker discovery in age-related macular degeneration, combining rigorous clinical focus with self-supervised multimodal methods. With nine years of experience across academia and industry, he has applied engineering skills at G-Research and NICE and taught advanced generative AI to top UK sixth-form students. Robbie’s work sits at the intersection of medical imaging, scalable research code, and translational impact—he’s as comfortable prototyping REST services and Kubernetes deployments as developing novel self-supervised models. Open to consulting and part-time industry roles, he brings both high-level research vision and hands-on software delivery experience. A less obvious strength is his track record of communicating complex projects live to diverse audiences, from prospective students to clinical collaborators.
9 years of coding experience
2 years of employment as a software developer
GCSEs: 8 A*s (including Maths and English Language), 5 As - FSMQ: Additional Maths (A), GCSEs: 8 A*s (including Maths and English Language), 5 As - FSMQ: Additional Maths (A) at Collingwood College
PhD, Multimodal self-supervised learning for retinal image analysis, PhD, Multimodal self-supervised learning for retinal image analysis at Imperial College London
4 A Levels, Mathematics (A*), Further Mathematics (A*), Physics (A), Computing (A), 4 A Levels, Mathematics (A*), Further Mathematics (A*), Physics (A), Computing (A) at Collingwood College Sixth Form
Master's degree, Healthcare Technologies, Master's degree, Healthcare Technologies at King's College London
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Robbie Holland - Postdoctoral Researcher at Stanford University