I work on AI policy
at the layer where
promises get tested.

Independently researched and evaluated frontier AI tools for county adoption, assessing them against procurement requirements, workflow constraints, governance risk, and political context. Co-designed an 8-criterion structured assessment framework to reduce evaluator bias and produce a consistent evidence base for procurement decisions.

Authored five pilot proposals, led qualitative stakeholder interviews with department leads across divisions, and contributed to the design and adoption of the county's first governance framework for frontier AI models — establishing institutional procedures for evaluating, piloting, and scaling emerging technologies across departments serving over 500,000 residents.

Managed a 3-month research project from scoping through publication, delivering a 15,000-word policy report on AI and democracy promotion. Incorporated a literature review of 50+ sources, stakeholder insights, and a policy memo with recommendations now used to inform organisational strategy.

Developed a working definition of AI for the democracy support sector and translated it into a briefing deck presented to WFD staff and external partners, packaging complex policy research for varied audiences.

Interrupted time series analysis of US federal contracting data examining whether OMB procurement memoranda measurably shifted agency-level AI adoption. Finding: significant level shift in AI contract actions — not in spending.

An extensive-margin response that complicates how administrative AI policy is read as a regulatory instrument. Full chart and methodology →

Mixed-methods study using qualitative and archival analysis of procurement documentation, government reports, and organisational case studies to trace how procurement failures upstream of the 2013 Healthcare.gov rollout determined delivery outcomes.

The argument: the launch crisis was a procurement crisis before it was a software crisis. Sets up the procurement-as-governance frame I'm now extending in my MSc work.

Selected by peers to draft the youth statement for the 2023 Nuclear Non-Proliferation Treaty Preparatory Committee, and delivered the address on the role of information and communications technologies in security policy. Briefed parliamentarians and members of Congress on the AI–nuclear nexus throughout 2023.

Produced policy guidance on organisational use of generative AI for the Nuclear Age Peace Foundation, and prepared speech materials for civil society partners and UN representatives.

Argument that governments cannot safely regulate frontier AI under current institutional conditions — not because regulation is impossible in principle, but because the evaluative capacity that has been built is disconnected from the enforcement authority that would need to act on its findings. The UK AISI as a structured case.

Drafted executive appointment orders and governmental memos at the Office of Boards and Commissions; managed candidate pipeline across 12 active board vacancies, coordinating with appointees and agency staff on state-level operations.

Eight-week fellowship project on AI's impact on democratic practices and elections — synthesising primary sourcing, case studies, stakeholder interviews, and quantitative data collection. The report deliberately resists the genre's pull toward speculation; the goal was a usable baseline rather than scenario-building.