I have taught the following courses (level):
Quantitative Methods for Impact Evaluation (applied econometrics, MPH, Doctoral), 2019-2022
This course provides students with the tools to be knowledgeable consumers and producers of empirical research in the public health field. This course introduces students to causal inference framework reviews a variety of quantitative techniques and research designs (e.g., RCT, instrumental variables, difference-in-differences, regression discontinuity, etc) that are used to uncover causal effects of policies and programs, with applications to public health topics. For each technique, this course outlines the appropriate setting, data, and steps needed to convincingly apply the technique, as well as the practical challenges of application and limitations of the technique. The students implement these techniques with Stata-based labs.
Global Health Economics (MPH), 2017-2022
The course introduces students microeconomic theory and market analysis with an eye toward analyzing issues related to global health economics and then asks the students to apply this ‘toolkit’ to a variety of a global health issues including demand for health, policy tools to increase demand for health, healthcare financing, social insurance, and HIV/AIDS.
Proposal development for Master's Thesis (MPH), 2020-2021
This proposal development course provides student's a structured process for identifying a thesis topic and methodology, pairing with a faculty advisor, and completing a high quality thesis proposal. The course provides an overview of research methods used in thesis projects and research proposal structure.
Introduction to Quantitative Methods STATA Lab (MPH), 2019
This course is intended to provide further depth into understanding quantitative data analysis and statistical modeling in global health settings. The class focuses understanding the fundamental trade craft of statistical modeling. The class builds on the methods learned in biostatistics, beginning with bivariate analyses, then proceeding to ordinary least squares linear regression, logistic regression as well as more advanced methods. The students learn the theory behind these techniques, as well as apply them using the software STATA.
Global Health Study Design (MPH), 2017-2019
This course introduces students to different phases of the research process, including choosing an appropriate research topic and question, understanding the relationship between hypotheses, specific aims, and study objectives, conducting a literature review, selecting a research design, and writing a research proposal.
I have also collaborated in developing and co-taught in a course on field trial methods and application that is taught at the master's and doctoral levels.
In addition to teaching, I advise master's and doctoral students in their thesis projects.