Teaching

This page summarizes my teaching activities.

Instructor

• **Upcoming** Math 56: Computational and Experimental Mathematics, Dartmouth College, Winter 2025
• Math 3: Calculus, Dartmouth College, Fall 2023 [lecture notes]

Teaching assistant

• Math 22: Linear Algebra and Applications, Dartmouth College, Spring 2023
• Math 56: Computational and Experimental Mathematics, Dartmouth College, Winter 2023
• Math 3: Calculus, Dartmouth College, Winter 2023
• Math 3: Calculus, Dartmouth College, Winter 2022
• Math 3: Calculus, Dartmouth College, Fall 2021

Directed reading programs

I have enjoyed participating as a mentor in Dartmouth’s Directed Reading Program (DRP) for undergraduates. Past reading programs I have supervised include:

• Markov Chain Monte Carlo and Bayesian Computation (Spring 2024, with Michael Bond and Vadin Thadhani)
• Computational Measure Transport (Winter 2024, with William O’Brien and Paul Chirkov)
• Markov Chain Monte Carlo and Bayesian Computation (Spring 2023, with Daniel Carstensen)
• Bayesian Modeling and Computation (Spring 2022, with Ivy Yan)
• Nonlinear Dynamics, Chaos, and Ergodicity (Fall 2021, with Andrew White)

If you are interested in participating in a DRP (formally or informally), feel free to write me via email here.

Miscellaneous lecture notes and slides

• Overview of regularization parameter selection methods [Slides] [Slides source] [Notes 1] [Notes 2]