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PhD Student

I am a PhD student at the University of Alberta studying Reinforcement Learning with Marlos C. Machado and Martha White. From January 2023 to August 2023, I was an AI research intern at Sony AI working with Dustin Morrill.

Before starting my PhD, 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.

Timeline

  • Jan. 2023 - Aug. 2023

    Sony AI | AI Research Intern (Remote)

    During my internship I worked with Dustin Morrill on reward shaping.

  • Sept. 2021 -

    The University of Alberta (Edmonton, AB, Canada)

    ◾ PhD in Computing Science, 2021 -

  • Sept. 2018 - May 2021

    Preferred Networks | Engineer (Tokyo, Japan)

    I lived and worked in Tokyo. My work included:
    ◾ Open Source Deep RL (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