My interdisciplinary expertise enables me to identify each student’s unique learning needs and tailor my teaching approach accordingly. I am enthusiastic about teaching graduate and undergraduate courses in statistics, programming, machine learning and artificial intelligence (AI) related topics, especially their integration with social science research.
Below are the two courses I have served as an instructor or teaching assistant at Notre Dame:
Role: Co-Instructor
Semester: Fall 2024 (ongoing)
Course Description: The primary objective of QSG is to provide students the opportunity to develop their critical thinking skills, presentation abilities, and knowledge of the most recent developments in quantitative and statistical methods and techniques. The seminar format of this course is designed to stimulate and foster the intellectual environment of the program and department as well as to engage students at all levels. This is one of the required courses for non-quantitative students to get the Advanced Quantitative Social Science Minor.
Role: Teaching Assistant & Lab Instructor
Semesters: Spring 2022 and Fall 2023
Course Description (Fall 2023): Think of a psychological question you are curious about exploring. For example: What do changes in cognition look like over a lifetime? How does the prenatal environment influence predisposition to psychological disorders in later life? Why do children learn more effectively following reinforcement versus punishment? These questions model examples of the three goals of scientific research: to describe, to predict, and to explain. In this foundational course (a continuation of PSY 30100 Statistics for Behavioral Sciences), you will study the numerous methods used by a behavioral scientist with an emphasis on the design and execution of psychological research. You will also foster your scientific communication skills through a written research proposal and an oral presentation of this proposal. In essence, you will learn how to become a behavioral scientist, equipped with the necessary experimental design skills to continue your exploration of the behavioral sciences.
Student Evaluation: My composite median teaching evaluations in the two semesters were 4.8/5 and 4.0/5, respectively, with ~85% and 70% of students rating my performance as “excellent” or “very good.” Students consistently highlighted my effectiveness in guiding them through statistical analysis and coding, the clarity and engagement of my lectures and activities, and my willingness to provide support outside of class.
Full teaching statement, evidence, and course materials are upon request.