I’ve helped teach physics, applied mathematics, and computer science at both the undergraduate and graduate levels.

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These courses include:

Applied Mathematics 201: Physical Mathematics

• Methods for developing accurate approximate solutions for problems in the sciences that cannot be solved exactly, such as nonlinear PDEs, complex analysis, and perturbation theory.

Applied Mathematics 215: Mathematical Modeling for Computational Science

• A core requirement for the Data Science and CSE graduate programs. Topics include population dynamics, sports analytics, and pandemic modeling.

Physics 19: Introduction to Theoretical Physics

• A comprehensive introduction to the foundations of theoretical physics, with a first-principles approach to its five main areas: analytical mechanics, thermodynamics, fields, relativity, and quantum theory.