Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
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Updated
Feb 25, 2023 - Go
Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
A decentralized privacy-preserving data sharing tool
all human experts into AI agents
Tools for analyzing global career mobility data using tidyverse workflows.
Evidence-backed analysis of AI skills, wages, tasks, education, and geography using O*NET and BLS data.
DreamLab Academy Go
Professional expertise compressed into loadable documents. 98 occupational roles based on U.S. O*NET taxonomy. Multi-platform: Claude Code + Codex + Gemini CLI + GitHub Copilot.
Occupational micro-actions: 15,817 atomic micro-actions decomposed from 1,961 O*NET work activities. Code & data for "The Atomic Structure of Work" (Gao & Huang 2026, arXiv:2606.07939). Dataset DOI: 10.5281/zenodo.21395793
A milestone-based data science project exploring how automation and AI affect U.S. occupations and skills. Data collected from BLS, O*NET, and other sources, cleaned and merged into SQLite, with analysis and visualization in Python and Power BI.
Talentsync- ONET integrated recruitment system
A measurement-clock audit of O*NET AI-exposure scores, with code, public results, and an end-to-end agent-assisted research workflow.
Rate careers like stocks — a risk-adjusted 0-100 viability score for 730 occupations, back-tested against a real decade (BLS + O*NET, math shown)
semi-automatic coding of free-text job descriptions to o*net and holland codes
Training-program framework for Tyonek subsidiaries: lean value streams, govcon certification compliance, and DOL apprenticeship (Apprentice/Journeyman/Master) pathways. Portfolio piece for a Training Manager role.
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