Steve is the head of neuroimaging department at King's, leading an international network focused on the optimization, distribution, training and ongoing support of new ultra-low field Hyperfine systems at clinical and research sites across the globe. 

Carly is a Research Project Manager in the department of neuroimaging. She is responsible for all administrative and financial aspects of the UNITY programme at King's. She also coordinates logistics of Hyperfine Swoop deliveries and implementation across the different clinical research sites.

Niall is a Research Fellow, leading on the data harmonisation and processing through the online biomedical imaging platform Flywheel. This is done utilising DevOps to build neuroimaging workflows in containers as 'Gears'. The aim is to automate neuroimaging preprocessing workflows from start to finish, providing derived data for neuromodelling to answer global health questions. 

František is a lecturer in Machine Learning and Computational Neuroscience. His work within UNITY focuses on using deep learning for pre-processing and enhancement of portable ultra-low-field neuroimaging.

Levi is a PhD Candidate specialising in the use of various deep learning techniques for the enhancement of ultra-low-field imaging. By training image translation models to produce synthetic high-field scans, his work aims to increase the viability of ultra-low-field scanners for use in downstream clinical and research tasks. His work is supervised by František Váša, Rosalyn Moran, and Emma Robinson.

Petter is a Clinical Support Engineer providing hands-on training in remote and resource-limited settings, contributing to the development of MRI sequences and protocols with physics teams and Hyperfine, and maintaining Hyperfine Swoop scanners.

Hajer is a Research Assistant supporting the development, enhancement and distribution of analyses pipelines for projects across the UNITY network. As part of her PhD, Hajer will work on generating and testing several hypotheses with partners using complex multidimensional behavioural and brain imaging datasets to identify markers of impaired brain and cognitive function development in infancy. 

Ethan is a research assistant specializing in biomedical engineering and MR physics. As part of UNITY, his work focuses on expanding the range of imaging sequences available at ultra-low magnetic fields. Through his PhD research, Ethan will develop novel hardware and post-processing techniques to better serve identified patient demographics, enabling more efficient monitoring and triage.