I am passionate about teaching quantitative and computational methods courses and substantive courses in my areas of expertise: environmental policy, economic sociology, and sociology of science and technology. I have five years of teaching experience, including designing and instructing a computational methods course. Check this course below:
Winter 2024 – Social Data Analytics, University of Toronto
This course teaches students to research and analyze social data through hands-on practice. As a lab-intensive course, it develops data analysis skills for novice and intermediate researchers. Students examine recent “Big Data” studies and engage with theoretical discussions about data analytics, including critiques and ethical concerns. Students learn Python programming and gain practical skills in web scraping, data collection and storage, basic statistical analysis, and data visualization. The course culminates in a research project and report on a topic of the student’s choosing.
Spring 2026 – Energy, Climate and Society, Brown University
Energy shapes society, from the daily lives of local communities to patterns of global inequality. In this course, we explore the social dimensions of energy production and consumption. We start by examining fossil fuels and their wide-ranging effects on communities and the environment, then shift to the ongoing energy transitions and the social forces that help or hinder the large-scale adoption of renewables. Throughout the course, we will ask who benefits and who bears the costs of energy production and transition, and focus on understanding the equity implications of these changes and the prospects for a sustainable society. Students will develop policy analysis skills by identifying current energy challenges, assessing their social impacts, and proposing evidence-based solutions.
