I'm a political data scientist with a unique blend of engineering, statistics, and epidemiology expertise.
While I can work in many languages, including R, Python, SAS, Stata, and more... you'll most often find me using (and shamelessly promoting) R! I love using R, Shiny, and Quarto to transform, analyze, and visualize data.
- Pull and wrangle publicly accessible secondary data in R
- Clean and analyze primary survey data in R
- Build and maintain Shiny dashboards
- Develop interactive reports using Quarto
- Monitor trends in public health surveillance data
- Conduct probablistic data linkages
- Research young adult engagement in alcohol consumption harm reduction strategies
- Transform ecological momentary assessment data
- Build robust optimization models to facilitate local data-driven decisions for HIV funding