Tom Joy
Machine Learning Engineer at Radical Health
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolTom Joy is a Machine Learning Engineer and founder based in San Francisco with nine years of experience building production ML systems and deep-tech startups. Currently applying ML to precision oncology at Radical Health, he combines research-grade expertise from a DPhil at Oxford and roles at Five AI and Meta with hands-on product execution. He has founded and led startups and nonprofits—most recently co-founding Retentia (automated A/B copy testing) and GirlsWhoML—to bridge research, product and social impact. His research background spans generative and vision-language models, variational inference and robustness, giving him a strong focus on safe, reliable AI. Tom’s work uniquely blends formal ML foundations with real-world deployment challenges like high-variance ecommerce conversion optimization and rural healthcare delivery. More on his publications and code is available via his website.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of Oxford
Github Skills (16)
crf7
keras6
semantic-segmentation6
image-segmentation6
keras-tensorflow5
bayesian4
tensorflow4
deep-learning3
codebase3
optimization3
hyperparameter-tuning2
pytorch1
inverse1
variational-inference1
openai1
Programming languages (2)
Github contributions (5)
thwjoy/thwjoy.github.io
Jul 2021 - Feb 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:104 pushes in 3 years 7 months
templategithub-pages-templatemmistakesmistakesjekyll
thwjoy/adats
Jun 2022 - Aug 2022
Contributions:8 commits, 5 pushes in 2 months
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