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, measure impacts, and 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.