Tyler Zhu Blog and Personal Website computer science, mathematics, rationality, and machine learning.


My name is Tyler Zhu, and I'm a 2nd-year EECS undergraduate at the University of California, Berkeley. Broadly, my main interests are mathematics and computer science, but I'm currently focused on machine learning, especially in model robustness and efficiency. Aside from academics, I find human behavior (especially cognition) and social dynamics fascinating, and play guitar and basketball (big Giants and Warriors fan). I also enjoy dancing, and am a huge foodie and coffee savant. If you're equally interested in any of the above, let's chat!


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.

Spring 2020

Fall 2019

  • CS 61C: Great Ideas of Computer Architecture
  • CS 189: Introduction to Machine Learning
  • Math H104: Honors Introduction to Real Analysis

Spring 2019

Fall 2018


Jun 2020 - Aug 2020 Trading Intern @ Citadel Securities
Feb 2019 - Researching Adversarial Image Robustness under Dan Hendryks @ BAIR
Aug 2019 - Researching Efficient Task Learning in NLP under Richard Liaw @ RISE Lab
May 2019 - Aug 2019 Software Engineering Intern @ Google