John Nay
Founder & CEO at CodeX, The Stanford Center for Legal Informatics
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJohn Nay is a founder and AI-focused CEO with 11 years of experience building productionized machine-learning systems that bridge research, policy, and markets. He leads Norm Ai and Skopos Labs, developing regulatory and forecasting AI used by institutional clients and backed by major financial investors. A Vanderbilt PhD and fellow at Stanford CodeX and Harvard’s Berkman Klein Center, he combines rigorous computational decision science with practical deployments—e.g., NLP for legal texts, prediction-market simulations, and trading-grade investment models. He has taught AI at NYU Law and spun AI-powered investment products that have traded billions, reflecting a rare blend of academic depth, regulatory insight, and commercial execution.
11 years of coding experience
6 years of employment as a software developer
Post-doctoral Research Fellowship, Post-doctoral Research Fellowship at New York UniversityPh.D., Ph.D. at Vanderbilt University
Stackoverflow
1reputation
0reached
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Github Skills (36)
genetic10
prediction10
trading9
simulation9
state-machine9
locality-sensitive-hashing8
python8
kd-tree8
agent8
r-package8
approximate8
relevance7
elasticsearch-plugin7
effort7
lua7
Programming languages (7)
Github contributions (5)
JohnNay/predMarket
Jun 2015 - Jul 2020
Agent-based computational simulation analysis of trading behavior in prediction markets
Contributions:1 release, 106 commits, 37 pushes in 5 years 1 month
pythonagent-basedagentpredictionprediction-markets
JohnNay/JohnNay.github.io
Mar 2015 - Jul 2016
Contributions:2 PRs, 146 pushes, 3 branches in 1 year 4 months
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