Data for Public Policy

I am a Master of Public Policy graduate from the University of Virginia’s Frank Batten School of Leadership and Public Policy, specializing in quantitative analysis and social policy. My work focuses on leveraging causal inference methods and large-scale administrative and survey data to study the dynamics and effectiveness of social assistance programs and drive evidence-based policy decisions.

Selected Portfolio Projects

Red Tape, Empty Plates: An Analysis of the SNAP Work Requirement in Kentucky

This graduate capstone project for the Kentucky Center for Economic Policy evaluates Kentucky’s SNAP ABAWD policy. It assembled a county-level panel (2017–2024) from USDA waivers, BLS/ACS/CHR and CHFS data, ran descriptive analysis and visuals in Stata/R, reviewed the causal literature on SNAP work requirements, and built a fiscal-impact calculator to score four alternatives. The report recommends county waivers plus limited 8% exemptions to protect food security at low fiscal cost.

Securing Economic Development Funding for Buchanan County, VA

This project used R to analyze population decline, out-migration, labor force gaps, and disability trends (2010–2023) using Census/ACS, BLS, IRS migration, UVA Weldon Cooper, and County Health Rankings data. Insights guided strategy and supported a successful application that secured $100,000 for housing development, prioritizing workforce and housing needs.

Social Assistance Outsourcing

This independent research codebase supports a forthcoming paper on state eligibility-system modernization across SNAP, TANF, and Medicaid. It compiles 50-state histories (2000–2024) on whether, when, and how states modernize—insourcing vs. vendors (e.g., Deloitte, Accenture)—and links them to SNAP outcomes (administrative costs, error rates, participation, PAI, APT) and economic/policy controls (LAUS unemployment/BBCE adoption). A reproducible Stata pipeline produces descriptive, FE/event-study, and CSDID analyses.

Evaluating Virginia CommonHelp Accessibility

This R project supports a forthcoming paper on multiple social assistance program receipt. It geocodes VDSS office locations and ZIP/ZCTA centroids, computes haversine, driving, and transit distances/times, and links ACS-based ZCTA characteristics to assess access to CommonHelp offices. The workflow classifies ZIPs (border vs. interior; residential status; PO Box/Unique/Standard), builds ZIP→ZCTA crosswalks, and maps service hot spots. Outputs include distance distributions, interactive maps, and an analysis-ready merged dataset.

Education

Frank Batten School of Leadership & Public Policy, University of Virginia — Master of Public Policy (May 2025)

William & Mary — B.A., Government (May 2023)

Work Experience

Graduate Research Assistant — University of Virginia (Jan 2024 – Aug 2025)

Graduate Intern — Buchanan County Industrial Development Authority (Aug 2024 – May 2025)

Graduate Research Assistant — Darden School of Business (June 2023 – May 2024)

Lead Session Intern — Office of Delegate Michael P. Mullin (May 2022 – May 2023)

Research Assistant — William & Mary Public Policy Department (Sep 2022 – Dec 2022)

Skills

Technical Tools: Stata, R, Python, SPSS, Tableau, Zotero, Microsoft Office, Google Workspace.

Research: Quantitative analysis, causal inference, data cleaning, data visualization, literature reviews.

Communication: Policy memos, presentation development, stakeholder engagement and collaboration.