Text analysis of 2018 campaign emails.
I am a Ph.D. student in the Department of Statistical Science at Duke University starting in September 2018. My research interests are still developing, but broadly include applications of statistics to questions in social science, particularly those involving public policy and politics.
After graduating from Carleton College with a B.A. in Economics and Statistics, I worked as an analyst at Cornerstone Research for two years, helping to prepare expert testimony on civil litigation regarding financial regulation, anti-trust issues, and labor market discrimination. Then, I worked for Professor Steven Levitt as a Research Professional in the Becker Friedman Institute at the University of Chicago, assisting with research projects about early childhood education, campaign spending, and the psychology of perseverance.
PhD in Statistical Science, Expected 2023
BA in Economics and Statistics, 2014
Myself and another Ph.D. student created a module to teach undergraduates statistical methods for text analysis focused on political applications. We created and taught variants for implementation in introductory and advanced classes. This work was funded by the Duke Rhodes Information Initiative and is documented here: https://bigdata.duke.edu/projects/text-analysis-political-speech.
I will eventually move my old Wordpress site to this one, but for now you can find all of my old posts here.
Some thoughts on how to build causal graphs and the role of privilege in taking down Theranos.
I review two applications of predictive modeling in mental health, one successful and the other not: identifying school shootings before they happen and prioritizing callers to a crisis hotline.
How to efficiently standardize names and link observations from different sources using graphs.
A review of some interesting articles regarding who are the true economic elites, partisan economic forecasts, and the effect of Trump’s tweets on hate crimes.