My primary goal in the classroom is to teach students how to think critically and rigorously about the social world, and how to systematically test and evaluate those thoughts.
At Cornell University, I was both an instructor and a teaching assistant for Introduction to Sociology. As an instructor, I first emphasize both macro- and micro-sociological approaches to comprehending the social world, then lead an examination of various dimensions of social inequality in contemporary society, and conclude with a broad survey of other substantive sociological topics (such as globalization, public health, and deviance).
I also have experience as a teacher of applied quantitative methods. I teach a popular course in Social Network Analysis with Dartmouth College's Program in Quantitative Social Science. At Cornell I was a teaching assistant for introductory and intermediate statistics courses designed for sociologists and social scientists, and "Data Science for All" - an introductory class covering elements of statistics, data analysis, probability, and programming that is offered jointly by Cornell's departments of Operations Research, Statistics, and Computer Science.