About Me
Substantively, I research political economy, migration, redistricting, public finance, and real estate. My thesis reveals how politicians utilize property taxes, disaster relief, and housing policy to shape their electorates in both the short and long term.
Methodologically, I use computational statistics to develop novel optimizers, GLM estimators, and measurement methods. My work emphasizes both theoretical innovation and practical implementation: designing adaptive and trajectory-based optimization algorithms that improve learning efficiency in high-dimensional and complex environments; advancing generalized linear model estimation through integrating adaptations on gradient descent; and constructing new approaches to measurement, including sequential factor analysis and PCA-based index development.
I currently serve as the Lead Methodologist for the Democracy and Capitalism Index at the Miller Center for Public Affairs, where I design statistical measurement models to be used to assess sovereign risk by both academics and private stakeholders.
Previously, I practiced law at DLA Piper LLP and Legacy Tax + Trust Lawyers, and worked at the Tax Foundation, contributing to research on comparative state and local tax policy. I also have experience working as a statistician and methodologist on multiple economic projects in Virginia, Washington D.C., and California.