Last updated June 11, 2016.

In 2016, I graduated from the Computer Science undergraduate program at UC Berkeley, with a 4.0 in major GPA. I currently work at Google as a Google Brain Resident.

At Berkeley, I did undergraduate research in the Berkeley Artificial Intelligence Research (BAIR) Lab, mentored by Pieter Abbeel and working most closely with John Schulman. My main research area is deep reinforcement learning, which combines deep neural nets and reinforcement learning to learn good strategies from minimal domain knowledge. I was also a TA for CS 70, the introductory discrete math and probability course.

In 2016, I was an Honorable Mention for the NSF Graduate Research Fellowship Program.

As someone who started as a math major, I’ve always liked theoretical computer science. Outside machine learning, I enjoy complexity theory, theoretical cryptography, and mathematical logic.

This site doubles as my personal blog. Posts range from explanations of research papers to observations of my life and stupid jokes. I post whenever I have the time to, meaning not very often. (Disclaimer: the views expressed here are my own, not those of my employer.)

I play Dominion competitively (ranked 25th worldwide), watch lots of My Little Pony: Friendship is Magic, and participate in many puzzle hunts. To find other things that make me weird, browse the site. I’m sure you’ll turn up something.