SPR 2022, SPR 2023, SPR 2024, SPR 2025

Head teaching assistant to Kamalini Ramdas

The course focuses on econometric techniques that bolster claims of causality, including instrumental variables, fixed effects regression, natural experiments, propensity score matching, and regression discontinuity design. 

I graded assignments and final exams. I also conducted a tutorial session on Stata, enhancing students’ proficiency in this statistical software.

AUT 2021, AUT 2022, AUT 2023

Head teaching assistant to Kamalini Ramdas

The course covers Applied Statistics and provides data science tools that are extensively used in practice, including methods of prediction using linear regression and classification using logistic regression. 

My primary responsibilities were addressing students’ questions in workshops and tutorials, answering their post-lecture inquiries, helping in designing and grading assignments in R, and overseeing the coordination of other teaching assistants.

SUM 2022, SUM 2024

Teaching assistant to S. Alex Yang

The emphasis of the course is on understanding and applying statistical tools in data analysis for decision making,  in various industries and business functions. 

During workshops, I supported students in critically analyzing a range of information using a variety of tools, interpreting quantitative evidence, generating insights, and making decisions supported by statistical analysis.

AUT 2020, AUT 2021, AUT 2022

Teaching assistant to S. Alex Yang and Kostis Christodoulou

The course emphasizes data analysis, problem structuring, and model building to facilitate decision making and improve managerial thinking.

I supported students during workshops, particularly with analysis tools, and evaluated their final group projects presented in class.