Will Penny is a Brain Imaging researcher with expertise in the analysis of fMRI and EEG data. He uses Bayesian Inference, Dynamical Systems, and Probabilistic Machine Learning both to develop new methods for neuroimaging data analysis and as models of human cognition.  Will joined UEA in 2017. Click here for personal website.

Will Penny has a BEng in Electrical Engineering from Nottingham University (1988), an MSc in Communication Engineering from Imperial College (1989) and a PhD in Artificial Neural Networks from Brunel University (1993). He then worked as a postdoc in the departments of Psychiatry at UCL (1994-1996), Electrical Enginnering at Imperial (1996-1999), and Information Engineering at Oxford (1999-2000) before working at the Wellcome Trust Centre for Human Neuroimaging at UCL as a statistician (2000), Senior Lecturer (2006), Reader (2011) and Professor (2014).

Brain Imaging and Bayesian Inference