Political Research, Elevated

I apply evidence-based methodologies to assess KPIs in non-profit performance and political effectiveness, research complicated issues, and deliver real, understandable results.

Grounded in rigorous analysis, and a clear understanding of the political landscape, my high-quality political research and data analysis helps nonprofits, advocacy organizations, and mission-driven institutions make informed strategic decisions.

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Previous Experience

Overspending in Maui: A Multi-Variate Analysis of Government Budgets in Comparable Counties

This research conducts a comparative analysis of county government budgets across a sample of coastal, tourism-dependent counties in the United States to determine whether Maui county demonstrates evidence of disproportionate public spending relative to its peers. Using comprehensive budgetary data, demographic indicators, tourism metrics, and socioeconomic characteristics, the study compares expenditures across major functional categories, including public safety, public works, parks and recreation, administrative services, infrastructure, and debt obligations.

Consultant on Voter Data for Election Efforts in Maine

Over the past year, I have been performing data consulting services for multiple 2026 political campaigns, producing campaign materials, voter data, and strategic analyses on pathways to victory for clients. Most notably, I discovered a sizable cache of mislabeled voters in the clients’ database, saving the campaigns from missing the opportunity to engage with hundreds of voters.

Understanding the Impact of 501c4 Campaign Spending in the 2024 Michigan General Election

Despite their increasing prominence, relatively little empirical research has examined the electoral effectiveness of 501(c)(4) spending at the state level. This study develops a series of statistical models to estimate the impact of 501(c)(4) expenditures on electoral outcomes in the 2024 Michigan general election. Drawing on campaign finance records, election returns, demographic characteristics, voter registration data, and district-level political indicators, the models evaluate the relationship between independent expenditures by 501(c)(4) organizations and candidate vote share while controlling for factors known to influence election outcomes.

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