Professor Alejandro Frangi

Prof Alejandro (Alex) Frangi obtained his undergraduate degree in Telecommunications Engineering from the Technical University of Catalonia (Barcelona) in 1996. He pursued his PhD in Medicine at the Image Sciences Institute of the University Medical Centre Utrecht University on model-based cardiovascular image analysis. Prof Frangi is Diamond Jubilee Chair in Computational Medicine at the University of Leeds, UK, with joint appointments at the Schools of Computing and Medicine. He leads the Centre for Computational Imaging and Simulation Technologies in Biomedicine. He is also a Royal Academy of Engineering Chair in Emerging Technologies, Visiting Professor at KU Leuven, Belgium, and was awarded a Presidential International Fellowship Award by the Chinese Academy of Sciences. Prof Frangi has his main research interests at the crossroad of medical image analysis and modelling, emphasising machine learning (phenomenological models) and computational physiology (mechanistic models). He is interested in statistical methods applied to population imaging phenomics and in silico clinical trials. His highly interdisciplinary work has been translated to cardiovascular, musculoskeletal and neurological sciences. His research intends to reduce, refine and partially replace the need for animal experiments, bench tests and human clinical trials by utilising, where possible, computational modelling and simulation. He is leading the national network www.insilicouk.org whose purpose is to drive the agenda in this space.