I am an engineer at Preferred Networks in Tokyo, Japan. Currently I work on reinforcement learning-related efforts, including PFRL (an open source deep RL library) and RL applications to robotics. My main interests are in reinforcement learning and sequential decision-making.
Formerly, 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 the topic of reproducibility in deep reinforcement learning, and was supervised by Peter Stone.
I have completed three summer internships, at Yahoo! in Sunnyvale, CA in 2015, at Microsoft in Redmond, WA in 2016, and at Facebook in New York, NY in 2017.
I live and work in Tokyo. Currently I'm working on:
◾ 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