Dr. Miguel Bernabeu

Professor

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Biography

Miguel O. Bernabeu is a Professor of Computational Medicine at the University of Edinburgh's Usher Institute. His research focuses on abnormal vascularization, a hallmark of multiple diseases such as myocardial infarction and stroke. Bernabeu completed his D.Phil. in Computational Biology at the University of Oxford in 2011, developing computational methods for simulating cardiac electrophysiology. He has held several prestigious positions, including Senior Lecturer and Deputy Director of the Bayes Centre, the university's hub for Data Science and Artificial Intelligence. His group's research combines theoretical mathematical modeling and machine learning with close collaboration with vascular and cancer biologists. Bernabeu has received significant funding from national and international organizations such as the British Heart Foundation and the European Commission to support his research on the mechanisms of vascular remodeling and angiogenesis, notably through the automated analysis of biomedical images. His contributions have been recognized in high-impact journals and conferences, and his work has practical applications in medical imaging and device-agnostic diagnosis.

Research Interests

Experience

Professor

2015-01-01 — Present

University of Edinburgh • Edinburgh, Scotland

Leading research in Computational Medicine and directing research strategies at the Bayes Centre.

Senior Lecturer

2019-01-01 — Present

University of Edinburgh • Edinburgh, Scotland

Promoted to Senior Lecturer, focusing on vascular research and computational techniques.

Requirements for University of Edinburgh

Master Program
Requirements
GPA Requirement
Required:3.25
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Undergraduate degree in business, management, or related subject
Application Checklist
  • Academic transcripts
  • Personal statement
  • One academic reference
  • CV/Resume
Specialization Notes

Department of Marketing