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). You can read about all that on the publications page, in the trusty CV, or lately in the New York Times.
By day I’m a Lecturer at Princeton‘s Department of Politics where I teach data science to a select cohort of incoming first generation low income students as part of the Freshman Scholars Institute, to stacks of undergraduates in the regular semester, and to hapless postgraduates in the Graduate Program.
I’m also ‘Senior Research Specialist II (Other)’ in the Department’s Program in Quantitative and Analytical Politics (QAPS). Nobody knows what a Senior Research Specialist II (Other) is supposed to do, particularly now I’m the only remaining member of QAPS after the previous director passed away (to Harvard, but it’s kind of the same), so right now I’m running a statistical consulting service, looking after our more unwieldy data sets, and helping out with research, data, and project infrastructure.
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. If you’re wondering if you know me from somewhere, you can ponder some biographical information. That should narrow things down.
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.
Did I mention the New York Times? Also, everyone should have the NYT graphics department behind their research at least once. It’s kind of amazing.
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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