Chris Cundy
Research Scientist at FAR.AI
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolChris Cundy is a research scientist at FAR AI with a decade of experience applying rigorous ML and physics training to reduce catastrophic risks from advanced AI systems. He holds a PhD from Stanford (advised by Stefano Ermon) and dual degrees from Cambridge, where his work spanned Gaussian Process state-space models and variational inference for dynamical systems. His research blends preference learning, inverse reinforcement learning, and human judgement aggregation—skills honed at UC Berkeley and Oxford’s Future of Humanity Institute—to make AI behaviour more robust, predictable, and aligned with broadly distributed benefits. Chris pairs strong theoretical foundations with practical engineering (from Raspberry Pi energy-monitoring to web automation and data-driven process optimisations), reflecting an aptitude for turning complex research into deployable tools. Based in San Francisco, he focuses on pragmatic, safety-oriented methods that anticipate worst-case harms rather than only average-case performance.
10 years of coding experience
1 year of employment as a software developer
Simon Langton Grammar School for BoysMaster’s Degree Computer Science, Master’s Degree Computer Science at University of CambridgeDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
Spanish
Stackoverflow
591reputation
32kreached
1answer
0questions
tensorflow
top-5%
Github Skills (67)
hyperparameter-tuning10
keras10
api9
python9
gpu9
collaboration9
gnus9
pytorch9
autodiff9
machine-learning9
reinforcement-learning9
composable9
tensorflow9
data-versioning9
automatic-differentiation9
Programming languages (7)
Github contributions (5)
C-J-Cundy/website
Jun 2020 - Nov 2024
Contributions:83 pushes, 1 branch in 4 years 6 months
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