I am a (Machine Learning) Economist at the Federal Reserve Bank of Philadelphia. My primary field is Econometrics.
The increased size, complexity, and dimensionality of research datasets create both new opportunities and new challenges for economists. My research contributes to the growing body of work on how best to find meaning in such datasets. Specifically, I work on dimensionality reduction and factor models.
I also work on causal inference in panel data models, and have lately been particularly interested in discrimination and algorithmic fairness.
Here is a link to my CV, my research projects, and some packages and code you may find useful.
Disclaimer: The views expressed on this site are my own. They do not necessarily reflect the views of the Federal Reserve Bank of Philadelphia, the Federal Reserve System, or its Board of Governors.
