I serve as an economist and the lead demographer for the Division of Local Area Unemployment Statistics (LAUS) at the U.S. Bureau of Labor Statistics. I'm also an Adjunct Scholar at the Cato Institute and a PhD student in statistical science at the Joint Program in Survey Methodology and Data Science at the University of Maryland, College Park. Previously, I worked in public policy as a researcher and scholar at the Cato Institute where I worked on immigration policy, consumer and mortgage finance, and labor economics.
I have extensive knowledge and expertise working with federal data and applied statistical methods.
- 📊 Applied statistics, econometrics, and data science
- 📈 Economic data
- 💸 Finance and banking
- 🏙️ Demography and urban development
- Extracting, manipulating, and analyzing numerous public and private datasets (see below).
- Applying econometric and quasi-experimental methods.
- Time series modelling, forecasting, and seasonal adjustment
- Using data science methods to examine big data and validate statistical models.
- Manipulating, tabulating, and estimating variance for survey data from a variety of survey designs.
- Writing and publishing research in peer-reviewed journals, book chapters, and policy brief series and presenting research at professional conferences.
All views expressed are my own and do not necessarily reflect those of the Bureau of Labor Statistics, the Department of Labor, or the United States.