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.



  • Sept. 2018 - Present

    Preferred Networks | Engineer (Tokyo, Japan)

    I live and work in Tokyo. Currently I'm working on:
    ◾ PFRL
    ◾ Robot Learning
    ◾ RL Applications

  • Summer 2017

    Facebook | Software Engineer Intern (New York, NY)

    At Facebook, I interned in Messenger Infrastructure, on the queueing team. That summer I was a frequenter at the Marshall Chess Club.

  • Summer 2016

    Microsoft | Software Engineer Intern (Redmond, WA)

    At Microsoft, I interned in the Visual Studio Team Services Commerce team. During my internship, I lived in downtown Bellevue.

  • Summer 2015

    Yahoo! | Technical Intern (Sunnyvale, CA)

    At Yahoo!, I worked in Ads Targeting. For the major portion of my internship, I lived in downtown San Jose.

  • 2014 - 2018

    The University of Texas at Austin

    ◾ B.S. in Mathematics, 2017
    ◾ B.S. in Computer Science, 2018
    ◾ M.S. in Computer Science, 2018