Personal profile
Academic Background
Based at the Colour and Imaging Lab at the University of East Anglia, and part of Dr. Sami's TENSOR Lab at the Norwich Medical School, Samuel investigates advanced computational neuroscience methods to study the early stages of Alzheimer’s Disease pathology. Prior to this, he studied undergraduate Computer Science at UEA, graduating in 2023 with a First Class BSc (Honours).
His cross-disciplinary research primarily focuses on the connectivity between cortical and subcortical brain networks via various MRI analysis techniques. Combining anatomical, structural diffusion, and functional resting state MRI data with detailed cellular, neurotransmitter, and receptor profiles, he aims to uncover the underlying mechanisms of neurodegeneration.
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Regional patch-based MRI brain age modeling with an interpretable cognitive reserve proxy
Maddox, S., Puglisi, L., Darabifard, F., Sami, S. (Lead Author) & Ravi, D. (Lead Author), Jan 2026, In: Pattern Recognition Letters. 199, p. 219-224 6 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Improving Diagnosis of Dementia through Longitudinal Analysis of Structural Brain Data
Maddox, S., Newman, J., Mackiewicz, M. & Sami, S., 28 Jun 2024, p. 245-246. 2 p.Research output: Contribution to conference › Abstract › peer-review
Open Access