Welcome. I am a political methodologist specializing in statistical text analysis with applications to legislative politics (ideal point estimation, government opposition conflict), political economy (central banker preferences, determinants of inflation expectations), and public policy (the causal inference of racial bias in policing). Some of that stuff is below and in the trusty CV.
I’m Lecturer in the Department of Politics at Princeton. Last semester I helped teach POL 345 (Intro to Quantitative Social Science) and every summer I teach POL 245 (Visualizing Data) at the Freshman Scholars Institute where a select cohort of first generation and low income students meet an lot of R and causal inference. I’m also the ‘Senior Research Specialist II Other’ in the Department’s Program in Quantitative and Analytical Politics (QAPS), which hosts our statistical consulting service and holds all our lovely data. Nobody knows what a Senior Research Specialist is and that’s the way it’s going to stay. Right now I give all the computational skills workshops that run parallel to our graduate methods sequence, offer consulting, and help people put computational projects together.
You can sometimes find me answering questions on stats.stackexchange.com, writing code on GitHub, or wittering on Twitter. There’s a blog here too. Alternatively you can ponder some biographical stuff.
For recognition purposes, the big + up there on the left has a picture of how I looked one Spring. I don’t know why I was looking so pleased with myself, but I’m pretty sure I’m over it.
My awesome colleagues Jonathan Mummolo and Dean Knox and I have a new paper on how not to estimate racial bias in policing: SSRN.
Baerg, Duell and Lowe ‘Central Bank Communication as Public Opinion: Experimental Evidence’ has won the 2018 David A. Lake Award for the best paper presented at IPES. (Apparently some other paper also won, but we don’t feel the need to talk about that.)
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