Mike Walmsley
Applied Scientist, Foundation Model
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMike 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 EdinburghDoctor of Philosophy (Ph.D.) Astrophysics, Doctor of Philosophy (Ph.D.) Astrophysics at University of OxfordUniversity of California, Los Angeles
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (117)
python10
annotations10
mixnet10
datasets10
deep-learning10
vision-transformer10
label-studio10
efficientnet10
labeling10
distributed-training10
imagenet10
optimizer10
ml10
resnet10
neural-network10
Programming languages (7)
Github contributions (5)
mwalmsley/galaxy-datasets
Apr 2022 - Jan 2023
ML-friendly datasets of galaxy images and labels
Contributions:16 releases, 3 reviews, 190 commits in 9 months
machine-learning
mwalmsley/gatsby-starter-lumen
Jan 2020 - Apr 2024
A minimal, lightweight and mobile-first starter for creating blogs uses Gatsby.
Contributions:4 PRs, 52 pushes in 4 years 3 months
gatsbyreactmobile-firstgatsbyjs
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