Hannah Sheahan
Member Of Technical Staff at OpenAI
London, England, United States
Summary
👤
Senior🎓
Top SchoolHannah Sheahan is a research-focused software engineer with nine years' experience building and evaluating safe, high-capability AI systems. Currently a Member of Technical Staff at OpenAI, she previously led research engineering efforts at DeepMind after postdoctoral work at Oxford and a PhD in motor learning from Cambridge. Her work sits at the intersection of machine learning, neuroscience-inspired motor learning, and AI alignment, aiming to design models that are both powerful and constrained from doing harm. Hannah combines deep academic rigor with production-scale engineering, transitioning ideas from theory into deployable research code. Based in London, she brings a background in mechatronics and hands-on curiosity—her GitHub notes capture an ongoing pursuit of "learning something about learning" that underpins her pragmatic approach to safety.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Motor learning, Doctor of Philosophy (Ph.D.) Motor learning at University of CambridgeBachelor of Engineering (First Class Honours) Mechatronics, Bachelor of Engineering (First Class Honours) Mechatronics at University of Auckland
Github Skills (9)
state-space10
recurrent10
machine-learning7
deep-learning7
unity3d2
web-development2
experiment2
codebase2
webgl1
Programming languages (1)
Github contributions (5)
hannahsheahan/FourRooms2D
May 2019 - Apr 2021
Contributions:112 commits, 76 pushes, 5 branches in 1 year 11 months
hannahsheahan/HCategoryLearn
Mar 2019 - Apr 2021
Contributions:89 commits, 54 pushes, 2 branches in 2 years 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.