Summary
Kyoung 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 University
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Korea Advanced Institute of Science and Technology