Jesse Dunietz
AI Standards, Policy, And International Engagement Lead
Tallahassee, Florida, United States
Summary
👤
Senior🎓
Top SchoolJesse Dunietz is an AI-focused computer scientist with 12 years of experience bridging technical research, policy, and standards work; he currently leads AI standards, policy, and international engagement for NIST’s AI team. He brings deep research chops from a CMU PhD and hands-on engineering experience dating back to internships at Google and open-source contributions like bug fixes and refactors to the widely used brat text annotation tool. Jesse has shaped international AI policy at the U.S. Department of State and helped coordinate treaty negotiations on AI’s human-rights impacts, combining technical rigor with diplomatic experience. He also has a knack for translating complex ideas for broader audiences, evidenced by science writing for outlets like Scientific American and training programs at MIT. Based in Tallahassee, he blends academic, industry, and government perspectives to create practical, auditable approaches to AI risk management and policy.
12 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Massachusetts Institute of TechnologyPhD, Computer Science, PhD, Computer Science at Carnegie Mellon University
Hebrew
Github Skills (13)
javascript10
web-development10
web-application10
webapp10
python10
annotate10
annotations10
server-side9
server9
user-interface9
html5
css5
git4
Programming languages (6)
Github contributions (5)
nlplab/brat
May 2014 - Nov 2014
brat rapid annotation tool (brat) - for all your textual annotation needs
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:8 commits, 6 PRs, 5 comments in 5 months
Contributions summary:Jesse focused on fixing bugs and refactoring code within the brat rapid annotation tool. Their contributions addressed server-side issues, specifically resolving a server hang related to lock release. They also corrected frontend errors, ensuring proper attribute selection and updates in the user interface, while refactoring both server and client code to reflect the order of attribute values specified in the configuration.
bratrapidtextualannotation-toolcrowd
duncanka/lstm-causality-tagger
Dec 2016 - Jan 2020
Contributions:292 commits, 79 pushes, 1 branch in 3 years 1 month
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