Hey there! I'm Tyler, a 4th-year EECS undergraduate at the University of California, Berkeley. Broadly, my main interests are mathematics and computer science. I enjoyed math and CS competitions in high school, and I love learning about theory, but focus mainly on machine learning for research.
I am broadly interested in creating intelligent and trustworthy systems that can interact and reason about our world. Specifically, my goal is to build vision systems that are efficient and robust, and investigate their underpinnings to make them more semantically meaningful. Currently, I am working in autonomous driving applications, working on improving monocular depth estimation techniques with Alvin Wan in Joey Gonzalez's group in RISE Lab.
Aside from academics, I play guitar and basketball (huge Giants and Warriors fan, not a bandwagon btw), and I also enjoy music, food, and coffee to an unusual extent. If you're equally interested in any of the above, let's chat! My email is tyler [dot] zhu [at] berkeley [dot] edu.
You can find some various things that I work on around my website. Below are my coursework and some course notes I've taken, as well as some teaching resources I've made over the years. There's also my personal blog, which I'll start writing in... one day.
Here's an abridged summary of the classes I have taken. Some of them have links to additional resources that I've created. The notes are written in LaTeX and live during lecture, so they may contain many errors. I try my best to correct them after the fact. My setup is inspired by that of Evan Chen's. You can find some of them in my public course notes repository.