Summary
Keller Scholl is an independent researcher and policy analyst with 11 years of experience applying quantitative methods to public policy, currently finishing a PhD at the RAND School of Public Policy on how AI-driven consumption reshapes labor demand. He consults to nonprofits and a public benefit corporation, delivering high-stakes analysis on tight timelines—from overturning a 2.5-year application backlog to producing a rapid nuclear fallout risk assessment that informed relocation decisions. At RAND he blends academic rigor with actionable policy recommendations and has published work that has attracted thousands of views. His forecasting work (notably a top-performing forecaster at CSET Foretell) and meta-analyses demonstrate an ability to turn large literature reviews into precise, decision-relevant insights. Trained at Oxford in PPE, he combines political economy intuition with technical data skills developed across campaigns, CRM implementations, and legal-code quantitative analysis. Colleagues describe him as a fast, reliable analyst who excels at translating complex research into operational strategies for senior leadership.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Public Policy Analysis - Economics of Artificial Intelligence, Doctor of Philosophy - PhD, Public Policy Analysis - Economics of Artificial Intelligence at RAND School of Public Policy
Bachelor's Degree, Philosophy, Politics and Economics, Bachelor's Degree, Philosophy, Politics and Economics at University of Oxford
High School Diploma, High School Diploma at Commonwealth School