Heejung Jung
Postdoctoral Researcher Research Data Scientist
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolHeejung Jung is a cognitive neuroscientist and research data scientist based in Palo Alto with nine years of experience mapping how expectations shape perception and pain using neuroimaging, intracranial EEG, and machine learning. At Stanford she builds LLM-based neural encoding pipelines to predict in-vivo brain signals from epilepsy recordings and has shown broadband dynamics better capture context modulation than traditional oscillatory approaches. Previously at Dartmouth she led one of the largest multimodal neuroimaging datasets (400 fMRI), developed reproducible automated pipelines now shared on OpenNeuro, and demonstrated that anticipatory signals recruit pain networks before stimuli occur. She combines rigorous statistical training, hands-on ML pipeline engineering, and open-science practices to push novel methods for studying social bias and future-oriented neural states. An underappreciated strength is her track record of translating complex experimental designs into public, reusable datasets and encoding models that challenge prevailing theories of vision and pain.
10 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.), Cognitive Psychology; Social Decision Neuroscience, Master of Science (M.S.), Cognitive Psychology; Social Decision Neuroscience at Korea UniversityDoctor of Philosophy - PhD, Cognitive Neuroscience, Doctor of Philosophy - PhD, Cognitive Neuroscience at Dartmouth CollegePsychology and Neuroscience PhD program; Cognitive Neuroscience; Institute of Cognitive Science, Psychology and Neuroscience PhD program; Cognitive Neuroscience; Institute of Cognitive Science at University of Colorado Boulder
Github Skills (17)
meta-analysis10
matlab9
connectivity9
is-object9
neuroscience8
preprocessing8
machine-learning7
neuroimaging7
bids6
image-processing4
brain-imaging4
datasets2
validation2
python2
data-analysis2
Programming languages (5)
Github contributions (5)
spatialtopology/spacetop-prep
Oct 2022 - Mar 2025
code for transferring data and preprocessing
Contributions:1 release, 6 reviews, 9 PRs in 2 years 5 months
preprocessing
spatialtopology/spatialtopology.github.io
Jun 2019 - Sep 2021
Contributions:393 pushes, 4 branches in 2 years 4 months
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