Peter Hase
Program Lead at Schmidt Sciences
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolPeter Hase is a postdoctoral researcher and AI safety specialist with nine years of experience combining academic rigor and industry practice across leading labs including Stanford, Anthropic, and the Allen Institute. He holds a PhD in Computer Science from UNC and a bachelor’s in Statistical Science from Duke, and his work spans interpretability, NLP, and practical safety evaluations of large models. As an AI Resident at Anthropic and a research intern at Meta, Google, and AI2, he bridges cutting-edge research with deployment-aware perspectives. Based in New York, he currently holds concurrent research roles at Stanford and Schmidt Sciences, reflecting both deep expertise and broad collaboration. Known for clear explanations and a focus on measurable safety improvements, he maintains an active public presence through his research website.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The Graduate School at the University of North Carolina at Chapel HillBachelor’s Degree Statistical Science, Bachelor’s Degree Statistical Science at Duke University
English
Github Skills (11)
html10
markdown10
github-pages10
jekyll10
jekyll-theme10
localization6
language-model5
training-data4
machine-learning3
ai3
data-science2
Programming languages (5)
Github contributions (5)
peterbhase/peterbhase.github.io
May 2019 - Jun 2026
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:305 pushes, 6 branches in 7 years 1 month
templategithub-pages-templatemmistakesmistakesjekyll
peterbhase/interpretable-image
Aug 2019 - Nov 2019
Contributions:11 commits, 10 pushes, 1 branch in 2 months
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