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.
I also highly value collaboration with applied researchers and am currently working on a project with Jesse Shapiro and Christian Hansen that grew out of a fruitful discussion on empirical work. In this paper, we introduce a novel approach for panel event studies that permits causal inference in the presence of pre-event trends in the outcome.
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.