Last updated June 7, 2017.
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 on the Brain Robotics team.
My main research interests are deep reinforcement learning, transfer learning, and multitask learning.
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. 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 had a soft spot for theoretical computer science. Outside of machine learning, I enjoy complexity theory, theoretical cryptography, and mathematical logic.
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 at a competitive level (peaked at top 25), like participating in puzzle hunts, and actively follow My Little Pony: Friendship is Magic. For other interests, browse the site. I’m sure you’ll find something.