Summary
David Simpson is a Managing Consultant and political economist with nine years of experience blending data science, policy analysis, and municipal finance across academia, government, and consulting. Currently at Guidehouse, he translates rigorous empirical methods—honed as a Columbia PhD candidate and graduate researcher who built 30+ datasets and automated ML workflows—into practical guidance for state and local clients. His background includes fiscal analysis for Baltimore City, independent nonpartisan policy work in Tennessee, and designing RCTs and computational experiments for election research. Comfortable moving between code (R, Python, STATA), statistical design, and legislative briefings, he combines technical rigor with clear, actionable recommendations. Unusually for a consultant, he brings classroom and field-tested teaching experience and a track record of improving outcomes in Title I schools early in his career.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Political Science, Doctor of Philosophy - PhD Political Science at Columbia University
Master of Public Policy Municipal Finance, Master of Public Policy Municipal Finance at University of Chicago
Bachelor of Arts (B.A.) Quantitative Economics and Political Science; Minors: Mathematical Statistics and Liberal Arts, Bachelor of Arts (B.A.) Quantitative Economics and Political Science; Minors: Mathematical Statistics and Liberal Arts at The University of Alabama