Jonathan Hayase
PhD Candidate
University of Washington, United States
Summary
👤
SeniorJonathan Hayase is a CS PhD student at the University of Washington and a graduate research assistant with 12 years of engineering and research experience focused on security and privacy for machine learning systems. He has combined industry and academic roles—student researcher at Google, AI Fellow at Sentient Labs, and multiple internships at Pure Storage and UnifyID—working on privacy for large language models and sensor-driven ML. His research record includes theoretical work on learning distributions and a paper at AJC AI, plus novel algorithms for automata inference, reflecting strong theory-to-system fluency. He’s comfortable shipping low-level, production-grade C/C++ systems for constrained hardware (satellite and embedded IoT) as well as high-level ML prototypes in Python and Julia. Based in Seattle, he brings interdisciplinary breadth from physics and mathematics to applied ML security, often bridging rigorous proofs with pragmatic engineering. A less obvious strength is his track record of moving between prototype hardware projects and formal theoretical results, enabling impactful, well-rounded contributions to trustworthy AI.
13 years of coding experience
Github Skills (200)
ivy10
autocomplete10
elisp10
julia10
zsh10
minor-mode10
fuzzy-matching10
autoload10
lisp10
completions10
ripgrep10
melpa10
emacs-lsp10
emacs-lisp10
kali-linux10
Programming languages (19)
Github contributions (5)
PythonNut/quark-zsh
Jul 2018 - Nov 2022
Contributions:143 commits, 179 pushes, 3 branches in 4 years 5 months
PythonNut/helm-git-grep
Apr 2017 - Jun 2025
Contributions:9 pushes in 8 years 3 months
grepkubernetesgit-grephelm
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