teaching

I have been an instructor and teaching assistant at Caltech in multiple courses.

Instructor

Approximation Theory and Neural Networks (ACM 270-1). Fall term 2023.

Classical approximation theory and modern developments in neural networks. Co-tought with Samuel Lanthaler.

Teaching Assistant

Clustering and Classification on Graphs (ACM 270-2). Winter term 2020.

Introduction to spectral clustering algorithms via graph Laplacian analysis.

Linear Analysis with Applications (CMS/ACM/IDS 107). Fall terms 2017, 2018, 2019.

Introduction to the analysis of linear operators on Banach and Hilbert spaces.

Introduction to Probability Models (ACM/EE 116). Winter term 2016.

Introduction to the basic concepts of probability from random variables and expectation to martingales.

Technical Seminar Presentations (E 10). Spring term 2016.

Basic techniques for giving effective presentation to technical and non-technical audiences.