I am an Assistant Teaching Professor of Data Science and Analytics at Georgetown University. I received my PhD in Political Science from Columbia University in 2022, with a dissertation on quantitative approaches to studying the history of political thought. During the PhD I also worked as an Adjunct Instructor in NYU's Center for Data Science, and Research Assistant in Columbia's Economics Department.
My research in political science mainly pertains to the history of political thought and what I call "computational political theory" (Natural Language Processing + Network Analysis + Political Theory)
My research in economics focuses on empirical, text-analytic studies of monopsony and collective bargaining in modern and historical labor markets.
Before the PhD, I worked as a Research Economist at UC Berkeley. I received my MS in Computer Science from Stanford University, and as an undergraduate at University of Maryland I studied Mathematics, Computer Science, and Economics.
Academic Appointment(s)
- Primary
- Assistant Teaching Professor, Graduate School