Developing the next generation of brain imaging devices. It is my responsibility to maintain and develop our unique brain imaging device for use by neuroscientists and clinicians. My roles include QC, curation, general management and continued research into computational modelling.

Eight week fully funded fellowship with intensive training in technical and commercial data science and machine learning. My project focussed on probabilistic forecasting energy demands using a transformer.

Developing unsupervised time-series machine learning techniques (mainly based on stochastic gradient variational Bayes/black box variational inference). My main topic focussed on how this could be used to ameliorate source reconstruction for magnetoencephalography (MEG) data.

Measuring Human Brain Dynamics In An Immersive Virtual Reality (VR) Environment.