Mike Walmsley is an applied scientist with a decade of experience building foundation models, currently developing the unified perception, reasoning, and motion-planning model that powers Wayve’s vision for generalisable self-driving. He combines a strong astrophysics research background (PhD, Oxford) and large-scale data-centric methods—having led Galaxy Zoo projects with 100M+ volunteer labels and deployed models for the Euclid telescope pipeline—with hands-on ML engineering in production settings. His work bridges rigorous science and product impact, from grant-funded research and government data science fellowships to startup analytics that delivered multimillion-pound commercial gains. Based in London, he thrives on applying self-supervised learning and crowdsourced data to hard perception problems, uniquely translating techniques from astronomy to autonomy.
10 years of coding experience
3 years of employment as a software developer
MPhys Theoretical Physics, MPhys Theoretical Physics at The University of Edinburgh
Doctor of Philosophy (Ph.D.) Astrophysics, Doctor of Philosophy (Ph.D.) Astrophysics at University of Oxford
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Mike Walmsley - Applied Scientist, Foundation Model