Chao-gan Yan
Professor at Institute of Psychology, Chinese Academy of Sciences
New York, United States
Summary
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Senior🎓
Top SchoolChao-gan Yan is a professor and neuroimaging methodologist with 13+ years of experience pioneering resting-state fMRI computational tools and big-data studies of depression. He directs the International Big-Data Center for Depression Research and leads the R-fMRI Lab at the Institute of Psychology, CAS, after research positions at NYU and the Nathan Kline Institute. His widely used toolboxes DPABI and DPARSF and several ESI top-cited papers have shaped standards for motion correction, standardization, and multiple comparison correction in functional connectomics. He initiated the REST-meta-MDD consortium and combines large-scale human neuroimaging with longitudinal animal models to probe depression mechanisms. With over 50 peer-reviewed papers, >10,000 citations and editorial roles at NeuroImage and Journal of Neuroscience Methods, he bridges open science, rigorous methods, and translational psychiatry. An automation-trained undergraduate who transitioned to cognitive neuroscience, he is notable for translating engineering-style tool development into reproducible brain-imaging science.
14 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Cognitive Neuroscience, Doctor of Philosophy (Ph.D.), Cognitive Neuroscience at Beijing Normal UniversityBachelor of Science (BS), Automation, Bachelor of Science (BS), Automation at University of Science and Technology Beijing
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (20)
imaging10
wechaty9
whatsapp8
robotics8
discord7
qq7
conversational-ai7
wechat7
chatbot7
docusaurus7
data-processing5
docker4
rpa4
documentation4
python3
Programming languages (5)
Github contributions (5)
Chaogan-Yan/DPARSF
Sep 2012 - Jun 2013
Contributions:17 commits, 1 comment in 9 months
assistantdata-processingmachine-learningfmriresting-state-fmri
Chaogan-Yan/PaperScripts
Sep 2017 - Nov 2022
Scripts for our papers. Readers can check, replicate or make use of the scripts in their future studies.
Contributions:24 commits, 34 pushes, 1 branch in 5 years 2 months
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