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I am currently an Economist working for Amazon on the Pricing Research Team. At Amazon, I work on using big data to find causal relationships between our prices and our customers. I also work on experimental design for A/B tests in order to get the most out of our experiments and make the best business decisions. You can see a video summarizing my work on pricing experimentation at Amazon at the Informs Pricing Webinar. I also presented in the Causal Methods and Applications in Tech at the ASSA Annual Meeting in 2023

I graduated from Brigham Young University in April 2016 with a BA degree in economics and applied statistics. I have a Masters degree and PhD in Economics from Boston College. In my doctoral research, I developed econometric estimators with strong applications in analysis of heterogeneous consumer demand.

My dissertation had three chapters. In the first, I developed an estimator for grouped patterns of heterogeneity in an approximately sparse setting. This setting is used to estimate demand shocks, competition sets and own-price elasticities for different groups of consumers. The second chapter, which is joint work with Stefan Hoderlein and Alexander Meister, develops a nonparametric estimator of the marginal effects in a panel data even if there are only a small number of time periods. This is used to estimate the heterogeneous marginal effects of increasing income on consumption of junk food. The third chapter, which is joint work with Stefan Hoderlein and Solvejg Wewal, is the first difference-in-differences model for binary choice outcome variables when treatment effects are heterogeneous. We apply this estimator to examine the heterogeneous effects of a soda tax. Additional information about my dissertation, including the abstract, can be found here. Feel free to contact me if you want a copy.

My resume can be found here.