Summary
Miguel Bernabeu is a Professor of Computational Medicine with 18 years’ experience applying machine learning and high-performance computational modelling to pressing problems in biomedicine, from retinal disease diagnosis to tumour vasculature and developmental vascular patterning. He combines deep technical expertise in computational biology with strategic leadership earned as Deputy Director and Director of Research at The Bayes Centre, where he designed programme-management methodologies and launched an Entrepreneurship Fellows programme. His work is highly collaborative and translational—partnering with clinicians, biologists and industry—and has secured over £8M in research funding, including major multi-institution bids. Miguel’s publications include papers in Nature Machine Intelligence, Nature Medicine and PNAS, reflecting both methodological innovation and clinical impact. Notably, his background in HPC and numerical methods (from early work on cardiac electrophysiology and parallel linear algebra) gives him rare fluency across algorithmic, modelling and deployment challenges in healthcare AI.
18 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Biology, Doctor of Philosophy (Ph.D.), Computational Biology at University of Oxford
Cotes Baixes
Master of Science (M.Sc.), Parallel and Distributed Computing, Master of Science (M.Sc.), Parallel and Distributed Computing at Universidad Politécnica de Valencia
English, Spanish, Catalan