Samuel Davenport is a Research Fellow in Neuroimaging-Statistics at UCSD, conducting advanced research on multiple testing, selective inference, resampling methods, and random field theory from Turin. His work focuses on statistical methodologies applied to neuroimaging, reflecting specialized expertise in this domain.

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