I am an AI evals & policy researcher at RAND and a Research Affiliate at the Oxford Martin AI Governance Initiative. I focus on the methodological and institutional foundations needed to evaluate increasingly agentic AI systems. My work runs from human baselines and measurement methodology to third-party audit and assurance frameworks. My research has appeared at top machine learning venues including ICML, Science, and FAccT, and in policy venues including the World Bank, RAND, and Carnegie. I lead the Resilience section of the 2026 International AI Safety Report, co-founded NYC AI Governance & Safety, and serve as Faculty at the International Programme on AI Evaluation.
Previously, I built machine learning models at Condé Nast and designed large-scale randomized controlled trials with the World Bank and Innovations for Poverty Action. I have lived and worked across five continents. I studied Applied Economics at the University of Wisconsin–Madison and Economics at the Barcelona School of Economics and the European University Institute. I will start a part-time Engineering DPhil at the University of Oxford in Fall 2026.