Teaching and mentoring

Courses

Graduate teaching assistant in the Division of Applied Mathematics, Brown University.

APMA 1650: Statistical Inference I

Fall 2023

A first course in calculus-based probability and statistical inference.

APMA 0360: Applied Partial Differential Equations I

Spring 2024

An introduction to partial differential equations and their applications, with an emphasis on techniques for solving the transport, wave, heat, and Laplace equations.

Directed reading program

Brown’s Directed Reading Program (DRP) pairs undergraduates with graduate student mentors for a semester-long reading project. As a mentor I planned the projects, met with the students every week, and helped them prepare a poster at the end of the semester.

SemesterTopicStudents
Fall 2025Numerical methods for differential equations1
Fall 2025Spline theory1
Spring 2025Spectral graph theory3
Fall 2024Numerical linear algebra1
Fall 2023Calculus of variations1
Pratyush Potu and a student beside the student’s poster, Lectures on Randomized Linear Algebra Pratyush Potu and a student beside the student’s poster, From Bézier Curves to B-Splines and Finite Elements Pratyush Potu and a student beside the student’s poster, Numerical Methods for Differential Equations
Me with DRP students’ posters.