Alison Noble Professor of Biomedical Engineering


Alison Noble OBE FRS FREng FIET FWES CEng DPhil (Oxon) MA

Technikos Professor of Biomedical Engineering

Fellow of St Hilda's College

  • Biography
  • Research
  • DPhil Opportunities


Alison Noble was an undergraduate and a postgraduate research student at St Hugh’s College, Oxford studying Engineering Science and Computer Vision respectively. She became a research scientist at the GE Corporate R&D Center, Schenectady NY USA following DPhil (PhD) graduation before appointment to the Oxford Engineering Science faculty in 1995. Alison Noble was elected a Professor of Engineering Science in 2002, and the Technikos Professor in Biomedical Engineering in 2011. Professor Alison Noble was the Director of the Institute of Biomedical Engineering from 2012-16 and an Associate Head of the Mathematical, Physical and Life Sciences Division at the University of Oxford, 2016-19.

Alison’s research interests are in ultrasound imaging, computational (machine-learning based) analysis of images, and the development of decision-support tools for medical professionals. Her research is motivated by clinical unmet needs in western and developing world healthcare settings. She co-founded Intelligent Ultrasound Ltd to commercial research from her laboratory which was acquired by MedaPhor Group Plc (now called Intelligent Ultrasound Group) in 2017.

Alison is a former president of the Medical Image Computing and Computer-Assisted Interventions (MICCAI) Society. She has served as a member and then Chair of the EPSRC Healthcare Technologies Strategic Advisory Team (2014-19) and a Trustee of the Institute of Engineering Technology (IET) 2016-19. She is a member of REF 2021 Subpanel 12 (Engineering). Professor Alison Noble is a Fellow of the Royal Academy and of the Royal Society, and a Trustee of the Oxford Trust. She received an OBE for services to science and engineering in the Queen's Birthday Honours list in June 2013.


View a list of Professor Noble's publications on Google Scholar, or by using her ORCID ID.

Research Interests

  • Biomedical imaging and image analysis
  • Machine learning applied to healthcare
  • Ultrasound image analysis
  • Point-of-care ultrasound
  • Global health technologies

Professor Noble's collaborators and research partners include:


For more information about Professor Noble’s research see here.

Enquiries from potential postgraduate research students who have interests in any of my research areas are welcome.