AI governance · Risk · Policy

I build the systems that hold algorithms accountable to the people they affect.

I'm an AI policy and governance practitioner. I've worked on AI governance in government and in Big Tech, and I've built accountability programs from nothing more than once. Most of my work sits where policy has to become something an organization can actually run: risk assessments, review processes, enforcement workflows, and ways for the public to be heard.

I started in the San Francisco Bay Area, researching early standards for autonomous vehicles, where a bad algorithmic decision happens on a public street. At Meta I helped build governance at scale, including the Oversight Board and the company's first public Community Forum. At TikTok I led a small team building generative AI policy for a new market. Then I moved into public service: as the first AI Trust Officer at the Federal Energy Regulatory Commission, and now as a Technologist-in-Residence at the U.S. Census Bureau.

Available for advisory work, speaking, and select projects. See how I can help or get in touch.

When I'm not working, you'll find me out on a hiking trail or at home teaching my cat new tricks. We're both still learning.

Work with me

I help government agencies, universities, nonprofits, and companies use AI responsibly, especially when they're starting from scratch. Most engagements begin with a short call to understand where you are.

  • Stand up AI governance

    For organizations adopting AI with no rules in place yet. I help you set up the structure: a governance committee, clear roles, a review process, and a plan you can actually staff. I've done this from zero at FERC and Census.

  • Assess an AI tool before it launches

    For teams about to deploy or buy an AI system that affects people. I review what it does, where it could fail or treat people unfairly, and what safeguards it needs, mapped to the NIST AI RMF, ISO/IEC 42001, or the EU AI Act.

  • Write or review your AI policy

    For organizations that need an AI use policy, a procurement standard, or a list of uses that are off limits. I draft policies that people can follow and that can be enforced, not just signed.

  • Choose enterprise AI tools wisely

    For leaders deciding which AI tools to buy on a tight budget. I compare options on cost per task, likely adoption, and risk, and look at what you already own before you sign a new contract.

  • Bring the public into AI decisions

    For institutions that want people affected by AI to have a real say. I design public engagement and deliberation, drawing on Meta's Community Forum with Stanford, where more than 5,200 people helped shape policy.

  • Workshops, talks, and moderation

    For conferences, faculty, and leadership teams. I teach AI governance in plain language and moderate panels that stay on time and on topic.

Selected work

  • 2024–now

    Enterprise AI and AI policy

    U.S. Census Bureau · Technologist-in-Residence

    Supporting the CIO's rollout of enterprise AI. I launched four AI workflow pilots and helped draft the Bureau's AI policy, which covers how AI tools are developed, used, bought, and prohibited. The enterprise solution and policy went live in March 2026. I also advise agencies across government on AI risk and represent Census in interagency AI coordination.

  • 2024

    The agency's first AI risk framework

    Federal Energy Regulatory Commission · AI Trust Officer

    As FERC's first AI Trust Officer, I led a team of seven to build the agency's AI governance framework, adapting its existing risk management for energy assets. I drafted a three-year AI policy strategy and launched the agency's first AI Governance Committee.

  • 2023–24

    Generative AI policy for a new market

    ByteDance / TikTok Shop · Policy Program Manager

    Led a team of three building generative AI content policy for TikTok Shop's North American launch, testing enforcement and escalation workflows with product and engineering teams in Singapore and Ireland.

  • 2020–23

    Governance at platform scale

    Meta · Governance and Strategic Initiatives

    Helped design and launch the Oversight Board. Program managed Meta's first public Community Forum with Stanford's Deliberative Democracy Lab, where more than 5,200 people deliberated on bullying and harassment policy in the metaverse. Wrote risk memos and guidance for crisis-level integrity incidents, and worked on transparency reporting and on explaining News Feed to the people who use it.

  • 2017–20

    Early emerging-tech policy

    Bay Area Council · MapLight

    Researched early autonomous vehicle and AI ethics standards, advised on California technology and workforce policy, and published public-interest research on technology, transparency, and democratic governance.

Speaking & advising

I speak, moderate, and run workshops for government, universities, and civil society, and I welcome new invitations. Topics include:

  • Standing up AI governance from scratch
  • Algorithmic accountability in public services
  • AI risk and impact assessments that agencies will actually use
  • Bringing the public into AI decisions
  • Making AI policy enforceable
  • AI and the future of skills assessment

Recent Moderator, Future of Work: AI’s Impact on Assessment, a panel hosted by the AI 2030 Institute and AECT for faculty, instructional designers, and students. October 8, 2026.

NIST AI RMFISO/IEC 42001ISO/IEC 23894EU AI ActEU DSAGDPRCCPA

Writing

Affiliations

  • Global Advisory Council, AI 2030 Institute2026–
  • Guest Lecturer, AI Product Strategy and Policy, Carnegie Mellon University2026–
  • AI Governance Professional (AIGP), IAPP2026
  • AI Governance Fellow, Portulans Institute2023–24
  • AI Risk Assessment Volunteer, Digital Catapult (UK)2023–24
  • Member, Integrity Institute; All Tech Is Human2023–

Contact

For speaking, advising, or collaboration, email me.