I am a PhD student at the University of Alberta studying Reinforcement Learning with Martha White. As of January 2023, I am an AI research intern at Sony AI.
Formerly, I lived and worked in Tokyo at Preferred Networks on open source deep RL as well as applications of RL to robotics. Before that, I was a student at the University of Texas at Austin, where I received Bachelor's degrees in Mathematics and Computer Science, and a Master's degree in Computer Science. My Master's Thesis studied reproducibility in deep reinforcement learning, and was supervised by Peter Stone.
I am currently working with Dustin Morrill on reward shaping.
◾ PhD in Computing Science, 2021 -
I lived and worked in Tokyo. My work included:
◾ Open Source Deep RL (PFRL)
◾ Robot Learning
◾ RL Applications
At Facebook, I interned in Messenger Infrastructure, on the queueing team. That summer I was a frequenter at the Marshall Chess Club.
At Microsoft, I interned in the Visual Studio Team Services Commerce team. During my internship, I lived in downtown Bellevue.
At Yahoo!, I worked in Ads Targeting. For the major portion of my internship, I lived in downtown San Jose.
◾ B.S. in Mathematics, 2017
◾ B.S. in Computer Science, 2018
◾ M.S. in Computer Science, 2018