Rohin Shah
Research Scientist at Alignment Newsletter
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolRohin Shah is a Research Scientist at DeepMind with a PhD from UC Berkeley’s Center for Human-Compatible AI and 13 years of experience spanning AI research, teaching, and software engineering. His work focuses on AI alignment—designing methods so systems pursue the objectives users actually intend rather than merely the ones specified—and he develops conceptual theory and concrete examples of objective generalization failures. Rohin founded and edits the Alignment Newsletter, a weekly digest that curates cutting-edge alignment work for a growing community of practitioners and researchers. He combines deep theoretical interests (programming languages, complexity, algorithms, quantum computing) with practical systems experience from internships at Google and multiple teaching and tooling projects at Berkeley. Colleagues know him for translating abstract safety problems into testable models and for an unusually broad curiosity that drives both rigorous research and accessible public communication.
14 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of California, Berkeley
English, Hindi
Github Skills (42)
apl10
artificial-intelligence10
solver10
inference10
reinforcement-learning10
infer10
code-golf10
scheme10
relational-algebra10
racket9
rosette9
representation-learning9
pytorch9
machine-learning9
synthesis9
Programming languages (8)
Github contributions (5)
uwplse/syncro
Mar 2016 - Nov 2017
Contributions:182 commits, 13 PRs, 33 pushes in 1 year 8 months
synthesisincremental
HumanCompatibleAI/learning_biases
Sep 2017 - Sep 2020
Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.
Contributions:92 commits, 5 PRs, 5 pushes in 3 years
inferagentsjuliahyperbolicplanning
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