I am passionate about teaching and mentorship both through formal and informal channels as a way to reduce inequality and to empower underrepresented students. I have taught a class on Political Behaviour and several workshops on programming and statistics. I have also created several resources for methods in the social sciences. These include the methods workshops I created to train students and instructors on statistics and data science, a guide I wrote on interpreting regression tables, and workshops I gave on how to design surveys in Qualtrics & writing papers in LaTeX.
POL 312: Political Behaviour
Queens University Undergraduate Course
This course examines how citizens think, feel and act with regards to politics, and how their voting behaviour reflects those opinions and their demographic characteristics. It will also introduce students how to read and understand statistical tables in political behaviour. The course will explore topics such as public opinion, political knowledge, partisanship, participation, campaigns, political representation and so forth. The readings will mostly be from the American and Canadian contexts.
One goal of the course is to cover the basic literature in political behavior and associated aspects of public opinion. A second goal is to introduce students to political research through direct experience on: how to choose a topic, formulate specific hypotheses or expectations, look for available data, and discuss their contribution to the literature in designing a research proposal.
Here is a guide I prepared on how to interpret regression tables. Also available on GitHub.
I put together two workshops to introduce students to tools for both presenting and conducting research. The first workshop introduced students on how to write papers and their CV in LaTeX. In a subsequent workshop, I showed students how to program their surveys in Qualtrics.
- Writing in LaTeX (Here are my materials)
- Designing a Survey on Qualtrics (Here is a tip that could save you a lot of hours)
I also worked as a teaching assistant for the following courses:
University of Michigan:
Maximum Likelihood Estimation for Generalized Linear Models (Professor: Robert Lupton)
Lab Materials for the course (I co-led these workshops with Ikuma Ogura):
How to reshape data from wide to long (materials in R and Stata here)
Binary Dependent Regression Models (materials in R and Stata here)
Multinomial Choice Models (materials in R and Stata here)
R Boot Camp (Professor: Tim Elrick)
Université de Montréal
Représentation politique : Le choix d’un mode de scrutin (Professor: André Blais)
University of Toronto
Canadian Political Parties (Professor: Nelson Wiseman)
Canada in Comparative Perspective (Professor: Fiona Miller)