Kyoung Choe
Research Engineer at RLWRLD
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolKyoung Choe is a research engineer blending a decade of software, data science, and cognitive neuroscience expertise to advance robot learning and dexterous manipulation. With a PhD in Brain and Cognitive Neuroscience and a track record of web-based experiments, neuroimaging, and eye-tracking, she translates human decision-making insights into robot perception-action systems. She has led cross-disciplinary teams, established data practices as the first data scientist at a startup, and published the Choose-And-Solve Task in Science Advances revealing behavioral math avoidance. Based in Mountain View, Kyoung pairs rigorous experimental design with practical engineering—building adaptive learning algorithms, instrumentation pipelines, and reproducible research tools available on her site and GitHub. Colleagues rely on her ability to move projects from novel methods and grant proposals to deployed models and robot dexterity research.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy - PhD, Brain and Cognitive Neuroscience, Doctor of Philosophy - PhD, Brain and Cognitive Neuroscience at Seoul National UniversityBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Korea Advanced Institute of Science and Technology
Github Skills (67)
reinforcement-learning10
robotics9
lambda9
serverless9
meta-analysis9
serverless-framework9
jspsych8
gpu8
benchmark8
keras8
multi-agent8
simulation-framework8
aws-lambda8
microsoft-azure7
rl-environment7
Programming languages (11)
Github contributions (5)
kywch/BubbleView_jsPsych
May 2019 - Sep 2021
Contributions:2 PRs, 42 pushes, 3 branches in 2 years 4 months
CarperAI/nmmo-environment
Dec 2022 - Mar 2023
Neural MMO - A Massively Multiagent Environment for Artificial Intelligence Research
Contributions:137 reviews, 103 commits, 114 PRs in 3 months
artificial-intelligencemulti-agent
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