Howdy!
As a pre-doctoral research associate at both the Tepper School of
Business at Carnegie Mellon University and the Internal Revenue Service
Research, Applied Analytics, and Statistics office (RAAS), I leverage extremely large datasets of
administrative tax data for a variety of projects in finance and financial economics.
Formally building CV tools for genealogy as the lead computer vision developer at
the Record Linking Lab at Brigham Young University,
I am interested in the applications of big data and ML in economics, as well as in the economics of
black markets, crime, and labor. You can see some recent work I have been involved in on the
Research tab, including an OCR and NLP pipeline I built for a project at
Harvard Business School.
Benefiting from coursework in ML and CS at the top-ranked Carnegie Mellon University, I have experience in
Python, Stata, SQL, and Linux, and I am familiar with R, CSS, and HTML.
I am always excited to take on new projects, so feel free to reach out if you are interested in
working together!