Teaching Experience 

Instructor 

PLSC 29800: BA Colloquium Spring 2019 - Present
As an instructor for the Poltical Science BA Colloquium, I help students design and carry out original research projects over the course of a year. For most students, this is their first experience conducting their own primary research to produce an original argument. I help students situate their interests in the discipline, narrow down their research questions, develop a doable research design, collect and analyze data, and write a scholarly contribution to the field. This involves a combination of teaching and individual advising. 

Teaching Assistant

PLSC 25215: The American Presidency Winter 2019
As a Teaching Assistant, I led weekly discussion groups of roughly 30 students. I also created and delivered a lecture about the role of the Presidency in shaping race relations in the United States. 

Course Description: This course examines the institution of the American presidency. It surveys the foundations of presidential power, both as the Founders conceived it, and as it is practiced in the modern era. This course also traces the historical development of the institutional presidency, the president's relationships with Congress and the courts, the influence presidents wield in domestic and foreign policymaking, and the ways in which presidents make decisions in a system of separated powers.

PLSC 28801: Intro to American Politics Fall 2018 
Course description: This survey course canvasses the basic behavioral, institutional, and historical factors that comprise the study of American politics. We will evaluate various modes of survey opinion formation and political participation both inside and outside of elections. In addition to studying the primary branches of U.S. government, we will consider the role of interest groups, the media, and political action committees in American politics. We also will evaluate the persistent roles of race, class, and money in historical and contemporary political life.

PLSC 30700: Intro to Linear Models Winter 2018
Course Description: This course will provide an introduction to the linear model, the dominant form of statistical inference in the social sciences. The goals of the course are to teach students the statistical methods needed to pursue independent large-n research projects and to develop the skills necessary to pursue further methods training in the social sciences. Part I of the course reviews the simple linear model (as seen in STAT 22000 or its equivalent) with attention to the theory of statistical inference and the derivation of estimators. Basic calculus and linear algebra will be introduced. Part II extends the linear model to the multivariate case. Emphasis will be placed on model selection and specification. Part III examines the consequences of data that is "poorly behaved" and how to cope with the problem. Depending on time, Part IV will introduce special topics like systems of simultaneous equations, logit and probit models, time-series methods, etc. Little prior knowledge of math or statistics is expected, but students are expected to work hard to develop the tools introduced in class.