Researcher

I completed my PhD, MA at the University of Chicago, Department of Sociology, my BA, summa cum laude from New York University, and was a research fellow at Data Science for Social Good. My dissertation examined the effects of partisan and affective polarization within firms, especially how partisanship affects hiring and careers. I have also published work in the study of social movements and their effect on public and political discourse. My CV and resume summarize my academic research and professional UX research experience, and a portfolio of select research projects can be found here.

Teaching

In teaching, I have emphasized helping individuals improve statistical skills, computational analyses, programming, and research design the undergraduate, graduate, and professional levels. A sampling of topics include multivariate regression modeling, factor analysis, multiple imputation, programming in R and Python, SQL, web scraping, natural language processing, and machine learning. I offer detailed information on my academic teaching under my courses page. Additionally, I served as a Senior Preceptor in the Masters of Computational Social Science program at the University of Chicago. I have continued my passion for teaching at Meta by instructing other UX researchers in the use of R and SQL.

Analyst

Practiced in statistical data analysis, I specialize in building econometric models for both linear and categorical data, including multiple imputation and time-series analyses. Beyond statistical modeling, I am well versed in the design and implementation of large-scale and international UX surveys. Beyond basic statistical skills, I am also adept at data wrangling and cleaning, and have led multiple data-driven projects.

Data Scientist

I have been involved with multiple computational groups and research labs at the University of Chicago, including the Center for Data Science in Public Policy as a fellow for the Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship, and have also worked at the Knowledge Lab. In these data science projects, I have specialized in machine learning, data mining, web-scraping, natural language processing, social network analysis, and data visualization. Besides these research appointments, I have also served as a preceptor in the Masters in Computational Social Science program at the University of Chicago and helped organize the Computational Social Science Workshop. At Meta, I closely partner with product data science and write my own ETL pipelines for product analytics and quantitative UX research.