Professor Harish Poptani PhD

Professor Molecular & Clinical Cancer Medicine


Personal Statement

Dr Poptani is a Professor and Chair of the center for Preclinical Imaging at the University of Liverpool, UK, After completing his PhD from India, he did his fist postdoc in Kuopio, Finland with Dr Risto Kauppinen and his second postdoc with Dr Jerry Glickson at the University of Pennsylvania, USA, where he continued his academic career for another 15 years before he moved to the University of Liverpool in December 2014. Dr Poptani’s publications include over 105 peer reviewed papers, book chapters and review articles. His research focus is on development and application of advanced magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) methods, with specific applications in neuroimaging and cancer. His group was among the first to demonstrate the utility of diffusion weighted imaging and spectroscopy to assess response to gene therapy for brain tumors and for detection of apoptotic cell death in vivo. His group has also been credited for developing small animal neuroimaging methods at the University of Pennsylvania including high-throughput methods for MR microscopy, stem cell tracking as well as diffusion tensor imaging for isolated tissues. These methods were later adapted for in vivo applications of the mouse as well as the rat brain and have been applied to study mouse models of memory disorders, schizophrenia and autism. In addition, Dr Poptani’s research group has been developing high resolution 1D and 2D MR spectroscopy techniques in preclinical models. With a strong interest in translational studies, Dr Poptani’s group has continued to be involved in clinical MRI and MRS research and has implemented several cutting edge spectroscopic techniques on clinical magnets. Some of these methods include high resolution whole brain 3D MRS on 3T, single voxel 2D L-COSY on the human 7T magnet and several image processing algorithms for processing diffusion tensor imaging and dynamic contrast enhanced imaging data.