Seyhmus Guler

Seyhmus Guler was a research fellow in the CRL.

Seyhmus’ research focus has been applying model- and data-driven machine learning methods to large-scale neuroimaging data to better understand how human brain is functionally and structurally wired, and to explore bio-markers of disease. He has over five years experience in neuroimaging (fMRI,MRI, DTI) data analysis and non-invasive brain stimulation.

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