Hello! I am a data and social scientist currently working within the Data and Digital Solutions division at Abt Associates.
I received my Ph.D. in sociology from Harvard University in 2023, where I was also an affiliate of the Institute for Quantitative Social Sciences (IQSS) and the Harvard Center for Population and Development Studies. I have over 8 years of experience working on data-intensive projects—both alone and as a part of teams—performing every aspect of the data analysis process, including: collecting, cleaning, and managing data, performing statistical analyses, creating clear narratives with intuitive visualizations, and communicating insights through peer-reviewed publications and presentations at national conferences. I love finding creative ways to leverage data and building tools to help facilitate research workflows.
My academic research relied on large-scale surveys and text data to draw insights about politics, culture, and social change in the United States and Western Europe. My work has appeared in several top peer-reviewed journals and has been covered by news outlets, such as the New York Times, New Yorker, and Washington Post.
PhD in Sociology, 2023
AM in Sociology, 2020
BA in Sociology and Political Science, 2016
Indiana University, Bloomington
Data science | Data Analytics
R, data analysis, text analysis, and more
stat_smooth() functions. This is actually a fairly invovled process, but I’ve found this to be a useful excerise for better understanding what’s going on under the hood with ggplot and for learning how to manually produce similar-looking plots with more fine-tuned model specifications.
Article on the origins and creation of the Golf Match Simulator App.
A comparison of wellbeing trends between Democrats and Republicans and the effects of the COVID-19 pandemic.
Analysis piece written in the Washington Post’s Monkey Cage on partisan switching and the consequences of this for the 2022 midterm elections.
An analysis of partisan ID switching in the General Social Survey between 2016 and 2020.
This paper measures measures latent classes of nationalism in the U.S. over time and examines their impact on the 2016 primary and presidential elections.
This paper develops a measure of experienced conflict between religionists’ views on social issues and the teachings of their churches, and then analyzes the relationship between this conflict and church attendance.
A response to Voas and Chaves (2018) demonstrating the persistence of intense religion and discussing the importance of avoiding unfounded assumptions in age-period-cohort analyses.
We show that rather than religion fading into irrelevance as the secularization thesis would suggest, intense religion—strong affiliation, very frequent practice, literalism, and evangelicalism—is persistent and, in fact, only moderate religion is on the decline in the United States.