Dr Jeff Davies
PhD student (Tinnitus etiology and management; Advanced imaging and translational neuroscience)
Jeff Davies is a part-time PhD student, a clinical audiologist and a university lecturer.
Jeff graduated from De Montfort University in 2010 with a first class BSc (Hons) degree in audiology. Since then he has worked within Nottingham University Hospital NHS trust as a clinical audiologist for four years, specialising in the rehabilitation of adults with hearing disorders. In 2011, Jeff was awarded a PhD studentship by (formerly known as) Deafness Research UK. His PhD project uses behavioural and functional neuroimaging measures and aims to further our understanding of the brain mechanisms underlying tinnitus. In 2014, Jeff was appointed as lecturer in audiology at De Montfort University Leicester where he now teaches and supervises undergraduate BSc and Fd audiology students. Jeff still holds an honorary contract within the NHS enabling him to continue his clinical practice in audiology. Jeff is registered with the Registration Council for Clinical Physiologists and is also a member of the British Academy of Audiology (BAA), British Society of Audiology (BSA) and the British Tinnitus Association (BTA).
Jeff’s first PhD study investigated patterns of spontaneous (resting-state) neural activity in the auditory brain regions of individuals with chronic tinnitus. This was published in the International Journal of Audiology and has recently been nominated for the Marie and Jack Shapiro Prize awarded by the British Tinnitus Association.
Davies, J., P. E. Gander, M. Andrews and D. A. Hall (2014). "Auditory network connectivity in tinnitus patients: a resting-state fMRI study." Int J Audiol 53(3): 192-198.
As an audiologist, Jeff Davies has considerable knowledge in the areas of hearing anatomy and physiology, medical audiology and auditory rehabilitation. He also has a keen interest in digital hearing aid technology and real-ear measurements. More recently, his PhD has provided invaluable exposure to neuroimaging methods such as functional magnetic resonance imaging, as well as developing his understanding of the brain's underlying functional architecture.