Economist / Data Scientist at Wayfair, combining causal inference + machine learning at scale.
MIT Economics PhD (2019).
I love to learn. I got into economics and statistics as an undergraduate at Stanford, took a research position at the National Bureau of Economic Research, and was convinced to pursue a PhD in Economics. I completed my PhD at MIT, writing in applied econometrics using large administrative datasets, and realized I was most excited to engage with the everyday questions that make the modern economy tick.
I am currently an economist at Wayfair, sitting at the intersection of economics/data science/machine learning. I help to solve a wide range of business challenges using a combination of custom solutions and production systems. It's fun, challenging, and I get to keep learning every day.