Roger Gunn is Professor of Molecular Neuroimaging in the Division of Brain Sciences at Imperial College London. Professor Gunn has a background in applied mathematics and his research focuses on the application of positron emission tomography (PET) and magnetic resonance imaging (MRI) technologies to the study of pathophysiology and drug development in humans. A particular focus is the development of molecular PET probes to image targets in the brain - this includes the discovery and validation of the novel probes themselves, the associated development of quantitative analysis methods and the application of these tools in clinical studies exploring disease processes and their treatment.
Professor Gunn received his undergraduate training in applied mathematics and a PhD in bio-mathematical modelling of Positron Emission Tomography (PET) data from the University of Warwick. He has worked previously at the MRC Cyclotron Unit (London, UK), held a faculty position at McGill University where he worked at the Montreal Neurological Institute before joining GSK in 2003 to help establish their Clinical Imaging Centre.In October 2011 he took up the position of Chief Scientific Officer and Head of Analysis at Imanova which is a joint venture between Imperial, UCL, Kings and the MRC targeted at providing high quality R&D imaging capabilities to the London Universities and Commercial organisations. He also holds a Visiting Professorship at Oxford University (Department of Engineering Science) and has published 120 peer reviewed journal articles in the field of imaging. Professor Gunn has served as a panel member for the MRC and on organising and programme committees at numerous conferences - he was recently Co-Chair of BrainPET 2011.
Rabiner EA, Gunn RN, 2023, Estimation of target occupancy in repeated dosing design studies using positron emission tomography: Biases due to target upregulation., J Cereb Blood Flow Metab
et al., 2023, Validation of quantitative assessment of florbetaben PET scans as an adjunct to the visual assessment across 15 software methods., Eur J Nucl Med Mol Imaging, Vol:50, Pages:3276-3289
et al., 2023, Brain Serotonin Release Is Reduced in Patients With Depression: A [11C]Cimbi-36 Positron Emission Tomography Study With a d-Amphetamine Challenge, Biological Psychiatry, Vol:93, ISSN:0006-3223, Pages:1089-1098
et al., 2023, Synaptic terminal density early in the course of schizophrenia: an in vivo UCB-J positron emission tomographic imaging study of synaptic vesicle glycoprotein 2A (SV2a)., Biological Psychiatry, ISSN:0006-3223