Miguel O. Bernabeu

Miguel O. Bernabeu is a Professor of Computational Medicine at the Centre for Medical Informatics, Usher Institute, within the College of Medicine and Veterinary Medicine at the University of Edinburgh. He also serves as Deputy Director and Director of Research at The Bayes Centre, Edinburgh's innovation hub for Data Science and Artificial Intelligence. His interdisciplinary work bridges computer science, vascular biology, and clinical medicine.

• Education:
  • D.Phil. in Computational Biology, University of Oxford (2011)
  • M.Sc. in Parallel and Distributed Computing, Technical University of Valencia (2007)
  • B.Eng. in Computer Science, Technical University of Valencia (2005)

His research focuses on computational approaches to vascular biology, combining mathematical modeling, machine learning, and biomedical image analysis to address challenges in retinal diagnostics, tumor vasculature, and vascular remodeling. Key projects include developing AI tools for retinal disease prediction and studying placental disorders through computational hemodynamics.

Recent publications highlight retinal imaging as a window for systemic disease prediction, AI evaluation in clinical settings, and mechanistic studies of vascular malformations. His work integrates multi-scale modeling with real-world clinical data to advance precision healthcare.

• Scientific Awards:
  • Chancellor’s Fellowship, University of Edinburgh

Miguel actively supervises PhD students and postdoctoral researchers, with opportunities funded by the University of Edinburgh and major grants from EPSRC, British Heart Foundation, and Fondation Leducq. His team collaborates with vascular/cancer biologists and clinicians, and partners with industry for algorithm integration in medical devices.

The Bayes Centre under his leadership fosters interdisciplinary research in AI and data science, emphasizing technology translation for societal impact through academic-industry partnerships.