Courses

EE 263: Matrix Methods

EE 263: Matrix Methods

Stanford University  ·  Summer 2023, 2024, 2025

A comprehensive course on linear algebra and matrix methods for engineers, covering topics including SVD, least squares, and foundations of linear dynamical systems.

Foundations of Machine Learning

Foundations of Machine Learning

Summer Mini-Course  ·  Summer 2021

A summer mini-course covering the mathematical foundations of machine learning, including probability, optimization, learning theory, supervised and unsupervised learning, and reinforcement learning.

Advising & Service

Graduate Student Advisor

Graduate Student Advisor

Stanford EE Department  ·  2024 – Present

A resource for the Stanford EE graduate student body, offering guidance on grad student life, MS requirements, TA/RA positions, research advisors, the PhD rotation program, and more.