• Read: Deep Learning, Baby Rudin, LLMs from Scratch, Distributionally Robust Optimization, Math and Computation, Learning Theory from First Principles, Dive into Deep Learning, Stochastic Optimization under Distributional Drift, First-Order Methods in Optimization, AJKS RL book, Csaba RL, Intro to RL
• Photos With Professor Andreas Seeger, With my coauthors at NeurIPS @ Vancouver
• Cheatsheet: Inequalities, tmux
• Links: Neural Networks: Zero To Hero lecture series, The Napkin Project, Art of Problem Solving
• College Friends: Tianyi Xu, Hongtao Zhang, Ruixuan Tu, Thomason Zhao
• Walked around Lake Mendota, Blog unmaintained

For those that are not self-explanatory:

• Read contains a list of books or papers that I have read and liked, haven't read yet but want to, or in between.
• The Napkin Project is a math introduction project by Evan Chen, it covers topics in undergraduate math, and is a great resource for those who want to learn more about math, but are not from a math background.
• One day I decided to walk around Lake Mendota, the trip started from 2023 and ended in 2024.