Danielle Hewitt

Danielle Hewitt is a Postdoctoral Research Associate at the Oxford University Centre for Integrative Neuroimaging (OxCIN) within the Nuffield Department of Clinical Neurosciences (NDCN) at the University of Oxford, working in Prof. Ben Seymour's Pain and Aversive Learning group. Her research investigates how sensory, cognitive, and contextual factors dynamically shape somatosensory perception—particularly pain and touch—using multimodal neuroimaging (EEG, fMRI) and virtual reality in both healthy and clinical populations.

She earned her PhD from the University of Liverpool under Dr. Andrej Stancak, Dr. Nick Fallon, and Dr. Christopher Brown, where her doctoral research examined neural changes associated with spinal cord stimulation and peripheral nerve stimulation for neuropathic pain treatment.

Hewitt's work spans pain mechanisms, aversive learning, and clinical neuroscience with emphasis on methodological rigor. Recent projects analyze anticipatory processes in sustained pain using immersive VR environments and explore cultural influences on affective touch perception, reflecting her commitment to interdisciplinary science with real-world impact.

Her publications reveal strong trends in computational pain modeling, cross-cultural sensory neuroscience, and advanced neuroimaging meta-analysis, with increasing focus on Bayesian experimental design and machine learning applications for decoding neural signatures of pain and perception.

No scientific awards or fellowships were mentioned in the provided information.

The text contains no details about student advising roles or externally funded research grants.

She operates within the Pain and Aversive Learning research group at OxCIN, which employs multimodal neuroimaging and virtual reality paradigms to investigate pain processing and threat perception, contributing to NDCN's broader mission in clinical neurosciences.