As a Graduate Student Instructor at the University of Michigan, I have taught a diverse array of Statistics, Probability and Machine Learning courses. Below is a comprehensive list:

1. STATS 250 (Introduction to Statistics and Data Analysis)
2. STATS 412 (Introduction to Probability and Statistics)
3. STATS 415 (Data Mining and Statistical Learning)
4. STATS 500 (Applied Statistics I: Regression)
5. DATASCI 506 (Computational Methods and Tools in Statistics)

I led laboratory sections and office hours, and designed and graded assignments.

Student Supervision

1. Undergraduate honours thesis advisor (STATS 499), one student, Department of Statistics, University of Michigan, 2026–present.

2. Project supervisor, Undergraduate Research Program in Statistics (URPS), University of Michigan, 2026.

3. Project supervisor, Undergraduate Research Program in Statistics (URPS), University of Michigan, 2024.

4. Mentor, Undergraduate Directed Group Reading Program for Bachelor of Mathematics students, Indian Statistical Institute, 2019–2022.