Minyoung Lee is a data scientist and cognitive neuroscientist with 12 years of experience applying experimental design, computational modeling, and machine learning to large-scale behavioral and neuroimaging datasets. Trained at Stanford (PhD in Psychology, Cognitive Neuroscience), she has led human-subjects research using psychophysics, eye tracking, EEG, and fMRI to probe visual attention, multisensory integration, and perception. Her work spans academia and industry collaborations, including neuroimaging forward-encoding models and applied R&D for consumer perceptual testing. Minyoung combines rigorous statistical analysis with custom experimental paradigms that reveal subtle, often subliminal, multisensory effects on perception. Based in Cupertino, she pairs deep domain knowledge with practical data-science skills honed through Data Science for All, making her adept at translating complex cognitive findings into actionable insights. She’s equally comfortable building predictive models and designing the experiments that generate the data those models rely on.
12 years of coding experience
11 years of employment as a software developer
Master of Science - MS, Cognitive Psychology, Master of Science - MS, Cognitive Psychology at Korea University
Data Science for All by Correlation One
Doctor of Philosophy - PhD, Psychology (Cognitive Neuroscience), Doctor of Philosophy - PhD, Psychology (Cognitive Neuroscience) at Stanford University
Contributions:45 commits, 1 push, 1 branch in 1 year 10 months
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