宋琪 Song

Backend at 北京红喙科技有限公司

Beijing, Beijing, China
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Summary

👤
Senior
🎓
Top School
Song Qi is a research fellow at NIMH with a Ph.D. in Social and Decision Neuroscience from Caltech and a decade of experience probing how humans make decisions under threat and social influence. He combines ecologically inspired behavioral paradigms, fMRI, and computational modeling to reveal how cognitive processes and mood disorders interact, applying regression, clustering, and predictive modeling to neural and behavioral datasets. Proficient in R and Python, he leverages NumPy, SciPy, scikit-learn and TensorFlow to turn complex neuroimaging data into interpretable models and visualizations. His trajectory spans top labs at Caltech, Columbia, and international collaborators, reflecting both deep neuroimaging expertise and engineering rigor from an electrical engineering undergraduate background. Colleagues value his ability to translate theoretical questions about fear and decision-making into reproducible computational pipelines and experimentally grounded insights.
code11 years of coding experience
bookBachelor of Science (B.S.) 心理学, Bachelor of Science (B.S.) 心理学 at Beijing Normal University
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Github Skills (32)

collaborative-filtering10
recommender-system10
knn10
machine-learning9
go9
multimodal8
super-resolution8
ai7
style-transfer7
qml6
llm6
flutter5
cyclegan5
golang5
chrome5

Programming languages (6)

JavaJavaScriptGoPHPDartPython

Github contributions (5)

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songqii/songqii.github.com

Aug 2019 - Oct 2021

Contributions:150 commits, 1 push in 2 years 3 months
songqii/songqii.github.io

Jul 2019 - Oct 2021

Contributions:198 pushes, 1 branch in 2 years 3 months
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