I am a Principal Economist at Amazon, where I develop methods to improve large-scale experimentation and decision making. My research spans estimation theory, decision theory, and mechanism design, studying how organizations choose what to test, how to measure impacts, and how to turn empirical evidence into decisions.

I received a PhD in economics from Brown University in 2020. Prior to joining Brown, I worked as a research assistant at the Federal Reserve Bank of Boston and the University of Chicago Booth School of Business. I received a BA in quantitative economics from Drake University in 2010.