Hugh Tomkins
Applied Scientist at Wayve
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolHugh Tomkins is an applied scientist with 11 years of experience building perception and generative models across autonomous vehicles, robotics, and photorealistic video. Currently at Wayve, he focuses on multi-embodiment persistent world models, bringing prior research and product experience from Synthesia and Tractable where he worked on video diffusion, sparse conditioning, and scalable ML pipelines. His background spans 3D point-cloud detection, BEV RGB fusion, and large-scale distributed training and inference, reflecting a blend of deep research and production engineering. A Cambridge-trained information engineer, he has repeatedly translated novel academic ideas into deployable systems—an underappreciated strength is his track record of bridging model innovation with robust data-engineering and serving infrastructure.
11 years of coding experience
6 years of employment as a software developer
Master’s Degree Information Engineering, Master’s Degree Information Engineering at University of CambridgeHigh School
English
Github Skills (33)
python10
data-science9
caffe9
pytorch9
machine-learning9
tensorflow9
deep-learning9
jax8
predicates8
tiles8
neural-network8
mapbox-gl-js7
mapbox-gl7
webgl7
javascript7
Programming languages (3)
Github contributions (5)
hctomkins/caffe-gui-tool
Oct 2014 - Jan 2021
Contributions:51 commits, 92 pushes, 5 branches in 6 years 4 months
hctomkins/jax-monohull-dynamics
Aug 2024 - Mar 2025
Dynamic Simulation of Sailing Boats in JAX
Contributions:18 PRs, 29 pushes, 12 branches in 6 months
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