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Alejandro Frangi is a full professor and the Bicentenary Turing Chair in Computational Medicine at the University of Manchester, UK. His research focuses on computational medicine with an emphasis on medical image analysis and machine learning. He has led numerous funded research projects, including an ERC Advanced Grant, investigating in silico trials of medical devices and cardiovascular imaging. With over 285 journal articles published and a significant h-index, his work has been influential in the fields of computational physiology and regulatory science. Frangi's academic pedigree includes education in Telecommunications Engineering from the Technical University of Catalonia and a PhD from the University Medical Centre Utrecht. He has received several prestigious awards for his contributions, including the IEEE Engineering in Medicine and Biology Technical Achievement Award and the ICREA-Academia Prize. Frangi also plays a prominent role in academic governance, serving in several editorial positions and having supervised numerous PhD students. His work impacts both academia and industry, particularly in the areas of computational phenomics and artificial intelligence for healthcare.
University of Manchester • Manchester, UK
Overseeing and leading research in computational medicine that intersects engineering and healthcare.
Royal Academy of Engineering • UK
Focusing on the development of precision computational medicine through in silico trials.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.