Teaching
There is something deeply satisfying about the moment a concept clicks for a student — and I find myself constantly thinking about how to make that happen more reliably. My teaching philosophy is simple: I try to explain things the way I would have wanted them explained to me.
Teaching at UNC Chapel Hill
Instructor of Record
- Jun ‘26 - Jul ‘26 - I will be the primary instructor of STOR 155 (Introduction to Data Models and Inference) in the summer semester, responsible for all lectures, assessments, and course administration! Read my feature in INDY Week about teaching STOR 155.
Bootcamp
- Aug ‘25 - Dec ‘25 — Served as the lead instructor along with Dr. Panagiotis Andreou for the incoming PhD student bootcamp in the Department of Statistics and Operations Research, covering foundational topics in Real Analysis and Linear Algebra over the course of 8 weeks. [Course Material]
Teaching Assistantships
As a TA, my responsibilities included grading homework assignments and exams, holding weekly office hours, responding to student questions on the course forum, maintaining accurate grade records, and working closely with instructors to ensure students received timely, constructive feedback.
| Semester | Course Number | Course Name | Instructor |
|---|---|---|---|
| Spring 2026 | STOR 635 | (Graduate) Probability II | Prof. Sayan Banerjee |
| Fall 2025 | STOR 634 | (Graduate) Probability I | Prof. Benjamin Seeger |
| Summer 2025 | STOR 455 | Methods of Data Analysis | Kendall Thomas |
| Summer 2025 | STOR 155 | Introduction to Data Models and Inference | Tianzhu Liu |
| Spring 2025 | STOR 445 | Stochastic Modelling | Prof. Vidyadhar Kulkarni |
| Fall 2024 | STOR 435 | Introduction to Probability | Prof. Mariana Olvera-Cravioto |
Guest Lectures
On several occasions I have stepped in to cover lectures for instructors at their request.
| Date | Course Number | Course Name | Content Covered |
|---|---|---|---|
| 09 Apr 2026 | STOR 635 | Probability II | Coupling & Convergence of Markov Chains |
| 12 Mar 2026 | STOR 545 | Stochastic Models and their Applications | Open Jackson Networks |
| 12 Mar 2026 | STOR 445 | Stochastic Modelling | Kolmogorov’s Backward Equation for Queues |
| 13 Nov 2025 | STOR 654 | Statistical Theory I | Statistical Decision Theory |
| 02 Oct 2025 | STOR 654 | Statistical Theory I | UMVUE & Lehmann-Scheffe Theorem |
| 16 Jun 2025 | STOR 155 | Introduction to Data Models and Inference | Linear Regression |
| 13 Jun 2025 | STOR 155 | Introduction to Data Models and Inference | Correlation |
| 15 Apr 2025 | STOR 155 | Introduction to Data Models and Inference | Bayes’ Theorem |
| 22 Nov 2024 | STOR 435 | Introduction to Probability | Conditional Expectations |
Indian Statistical Institute (ISI)
| Duration | Course Name | Instructor |
|---|---|---|
| Jan ‘24 - May ‘24 | Functional Analysis in NPTEL | Prof. S Kesavan, IMSc |
ISI encouraged engaging with peers through informal study groups and problem-solving sessions, which deepened both my understanding and my appreciation for collaborative learning.
Teaching Assistantships at Chennai Mathematical Institute (CMI)
Course name links direct to available course materials, including homework assignments, exams, and occasional lecture notes.
| Duration | Course Name | Instructor |
|---|---|---|
| Jan ‘22 - May ‘22 | Complex Analysis | Prof. BV Rao |
| Sep ‘21 - Dec ‘21 | Analysis III | Prof. Parameswaran Sankaran |
| Sep ‘21 - Dec ‘21 | Functional Programming using Haskell | Prof. SP Suresh |
| Sep ‘21 - Dec ‘21 | Analysis I | Prof. Rajeeva Karandikar |
| Aug ‘21 - Sep ‘21 | Analysis Review Sessions | Prof. BV Rao & Prof. Rajeeva Karandikar |
| Jul ‘21 - Sep ‘21 | Introduction to Haskell Programming in NPTEL | Prof. SP Suresh |
| Apr ‘21 - Jul ‘21 | Probability Theory | Prof. Parameswaran Sankaran |
| Apr ‘21 - Jul ‘21 | Analysis II | Prof. Sukhendu Mehrotra |
| Dec ‘20 - Mar ‘21 | Functional Programming Using Haskell | Prof. SP Suresh |
| Dec ‘20 - Mar ‘21 | Analysis I | Prof. Purusottam Rath |