AI governance analyst · IAPP AIGP · Harrisburg, PA (remote)
I turn AI governance rules into things people can test and use. Before AI governance, I spent about six years applying policy and regulatory rules in regulated programs, including verifying identity before releasing patient health information.
Open to: entry-level AI governance, GRC, privacy and compliance roles.
| Project | What it is |
|---|---|
| NHID-Clinical · site | Open framework for AI agents that call healthcare payers: five testable controls that decide when patient data may be shared. Mapped (not certified) to the NIST AI RMF. |
| AI Governance Practice | Free scenario training for practitioners: 350 original questions, every wrong answer explained. |
| AI Governance Map | Interactive map of 31 AI laws, frameworks and standards and 75 dated obligations. Runs in your browser, with no tracking. |
| THE RECEIPT | Social prediction app where a prediction can't be edited once it's locked. |
| Dynamic Media Governance | Policy proposal for safely shipping animated profile headers on a social platform. |
- Public comment to NIST, docket NIST-2025-0035, Comment ID NIST-2025-0035-0026 (January 2026). It introduced Impersonation Latency: how long an AI voice agent talks before it says it is an AI.
IAPP AIGP · CompTIA SecAI+ · CSA TAISE · ISC2 CC · CompTIA A+ B.S. Cybersecurity and Information Assurance, Western Governors University (in progress)
I design and direct these projects and build them with AI coding tools. Every claim in them is meant to be checkable, with tests, sources and stated limits.