Sheena Waters, PhD

• Clinical Neuroscience
• Neurodegeneration
• Dementia
• Machine Learning
• Parkinson's disease
• Environment
• PD Risk
• RBD
• Hyposmia
• Neuroimaging

Sheena is a GP2 clinical data analyst and postdoctoral research associate in neurodegenerative diseases. She joined the clinical data team because of her interest in the wrangling and harmonisation of big data and, previously, she coded comprehensive pipelines for harmonising and wrangling clinical and neuroimaging data from UK Biobank and ADNI.

Sheena’s main research interest is big data neuroimaging and the application of machine learning methods to facilitate prediction and subtyping of neurodegenerative diseases and in developing novel measures of brain health. She is also interested in identifying risk factors and prodromal features of neurodegenerative diseases and combining these features with genetics to predict disease onset and identify the most suitable candidates for entry into clinical trials. Additionally, she has an interest in designing novel neuropsychological and cognitive tests, particularly in auditory and visual processing, that can predict neurodegenerative disease in a culturally fair, inexpensive, and minimally-invasive manner.