Scholar
Patricia Paskov
Google Scholar ID: UzpGGXcAAAAJ
RAND
Citations & Impact
Citations
232
H-index
3
i10-index
1
Publications
17
Co-authors
26
list available
Publications
Resume
Academic Achievements
- Published multiple papers in conferences such as ICML, FAccT, and others, covering topics like AI evaluations, biosecurity governance, and technical AI safety.
Research Experience
- Researcher at RAND and a Research Affiliate at Oxford Martin AI Governance Initiative. Resilience section lead for the 2026 International AI Safety Report and Working Group Chair at the EvalEval Coalition. Built machine learning models at Condé Nast and designed and managed large-scale randomized controlled trials with The World Bank and Innovations for Poverty Action.
Education
- Studied Economics at Barcelona School of Economics and European University Institute, and Applied Economics at the University of Wisconsin-Madison.
Background
- Research interests include frontier AI evaluations and policy, measuring the societal impacts of AI systems, and building solutions to help communities adapt and thrive. Worked at the intersection of economics, data science, and social impact.
Miscellany
- Lived and worked across five continents, including Italy, Senegal, Thailand, Peru, and Paraguay. Based in NYC and co-founded NYAIGS, aiming to grow the city's frontier AI governance and safety community.
