Summary
Benjamin Skinner is a senior data analyst with 11 years of experience who applies advanced data science, Bayesian methods, and machine learning to policy and public-interest research, currently focusing on reproductive and sexual health at the Guttmacher Institute. He has blended academic rigor from faculty roles at the University of Florida and University of Virginia with applied government analytics at the National Endowment for the Humanities, building dashboards, visualizations, and reproducible tools to evaluate institutional impact. An active developer of R packages (rscorecard, ripeds, crosswalkr, duawranglr) and educational tooling like GitRoom Manager, he specializes in turning messy, restricted datasets into shareable, policy-ready outputs. His research on college access, postsecondary outcomes, and broadband equity pairs novel survey poststratification and spatial analysis with practical software engineering, revealing how infrastructure and historical housing policy shape student opportunity. Based in Washington, DC, he teaches data science at Vanderbilt and is known for making complex, non-representative data usable for robust state-level and programmatic estimates.
11 years of coding experience
13 years of employment as a software developer
PhD, Leadership and Policy Studies, PhD, Leadership and Policy Studies at Vanderbilt University
Master of Arts, Humanities, Master of Arts, Humanities at University of Chicago