Professor
Alison Noble
CBE FRS FREng FIET FWES CEng DPhil (Oxon) MA
Technikos Professor of Biomedical Engineering
Research
Impact
Email:
Tel: 01865 617690
College: St Hilda's College
Location: Institute of Biomedical Engineering, Old Road Campus Research Building, Oxford OX3 7DQ

Professor Alison Noble CBE FRS FREng FIET is the Technikos Professor of Biomedical Engineering in the Department of Engineering Science and a Professorial Fellow of St Hilda’s College at the University of Oxford. She is a former Director of the Oxford Institute of Biomedical Engineering and former Associate Head (Industry Partnerships and Innovation) of Oxford’s Mathematical, Physical and Life Sciences (MPLS) Division.

Her research lies at the intersection of artificial intelligence, computer vision and clinical medicine. She is internationally recognised for pioneering work in medical imaging, particularly ultrasound imaging, machine learning, and human-AI collaboration in healthcare. Her research spans next-generation ultrasound technologies, multimodal imaging, data-driven healthcare innovation, and global health applications in partnership with researchers and clinicians in Africa and India.

Professor Noble has led several major research programmes. In 2016, she was awarded a European Research Council (ERC) Advanced Grant, PULSE (Perception Ultrasound by Learning Sonographer Experience), exploring how multi-modal machine learning can transform ultrasound imaging. In 2023, she received a UKRI Turing AI World-Leading Researcher Fellowship focused on human-AI collaboration and federated learning for global healthcare imaging partnerships.

Alongside her biomedical engineering research, Professor Noble has a strong interest in science and AI policy. She chaired the working group behind the Royal Society’s 2024 report on Science and AI and is the MPLS Division Director of the Oxford-UBS Applied AI Centre, which advances the application of AI in the financial sector.

Her contributions to engineering and healthcare technologies have been recognised by national and international honours, including the Royal Society Gabor Medal, the BMVA Distinguished Researcher Award, the MICCAI Society Enduring Impact Award, and the International Federation of Medical and Biological Engineering’s Laura Bassi Award. She is also a Senior Fellow of the Hong Kong Institute for Advanced Study and a Hans Fischer Senior Fellow at the TUM Institute for Advanced Study in Germany.

Professor Noble has held several leadership roles in the international engineering and research community. She served as President of the MICCAI Society, chaired the EPSRC Healthcare Technologies Strategic Advisory Team, served on the EPSRC Science, Engineering and Technology Board, and was a full member of the REF 2021 Engineering Subpanel. She is currently a Trustee of HDRUK, and Vice President and Foreign Secretary of the Royal Society.

Throughout her career, Professor Noble has combined academic excellence with innovation and entrepreneurship. She was co-founder, director, and senior consultant to Intelligent Ultrasound, a University of Oxford spin-out specialising in AI-enabled ultrasound technologies. The company became a division of Intelligent Ultrasound PLC and was subsequently sold to GE Healthcare in 2024.

Professor Noble was appointed an OBE in 2013 for services to science and engineering and a CBE in 2023 for services to engineering and biomedical imaging.

Professor Noble was recently featured in Oxford’s Women in AI series, highlighting her leadership and contributions to AI research and innovation.

Professor Noble leads the Noble Group. Further information about her group can be found here.

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

Professor Noble’s collaborators and research partners include:

Additionally, her group has research projects funded by the following major research centres:

Postgraduate Research and Internship Opportunities

Enquiries from potential DPhil (PhD) students who have interests in any of my research areas are welcome, please complete this survey.

Please note that Professor Noble does not accept Masters by Research (MRes) students.

She is also unable to offer in-person or remote internships.

Commander of the Order of the British Empire (CBE) for services to Engineering and Biomedical Imaging in the King’s Birthday Honours list (2023)

Officer of the Order of the British Empire (OBE) for services to Science and Engineering in the Queen’s Birthday Honours list (2013)

Fellow of the Royal Society (2017)

Fellow of the Royal Academy of Engineering (2008)

Fellow of the Institute of Engineering Technology (IET) (2000)

Honorary Fellow of the St Hugh’s College, Oxford (2017)

Honorary Fellow of the Oriel College, Oxford (2016)

 Fellow of the European Laboratory for Learning and Intelligent Systems (2021)

Fellow of the Women’s Engineering Society (2013)

Fellow of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society (2012)

 Distinguished Fellow of the British Machine Vision Association (2022)

Gabor Medal, Royal Society (2019)

MICCAI Society Enduring Impact Award (2019)

Laura Bassi Award, International Federation of Medical & Biological Engineering (2015)

Senior Fellow, Hong Kong Institute of Advanced Study, CityU, Hong Kong

Hans Fischer Senior Fellow, TUM Institute for Advanced Study, Germany.

National and International Roles

International Society Leadership

International Medical Image Computing and Computer Assisted Interventions (MICCAI) Society: Served for 10 years on MICCAI Society Board: Society President (2013-16).

National Academy/Institution Leadership and Trusteeships

  • Royal Society: Vice President & Foreign Secretary (2023-), Trustee (2022-).
  • Health Data Research UK: Trustee (2024-).
  • Institution of Engineering and Technology (IET): Trustee (2016-19), Vice President (2019).
  • The Oxford Trust (Trustee, 2015-current).

National Academy Committees

  • Royal Society
    • Council, 2022-, Member. International Committee, 2024-, Co-Chair. Science Policy Committee, 2021-26, Member. General Purposes Committee, Member. Science Industry and Translation Committee, 2025-, Deputy Chair.
    • Industry Fellowship Joint Panel, 2019-2023, Chair. Sectional Committee 4 (2018) and 0 (2019-20), Member. Newton International Fellowships Committee, 2014-19, Member. Research Grants Panel, 2009-12, Member.
  • Royal Academy of Engineering
    • Enterprise Committee, 2013-22, Founding Member. External Affairs Committee, 2013-15, Member. Awards Committee, 2009-12, Member.

National Academy Science Policy Working Groups

  • Royal Society: AI in Science Working Group (Chair, 2022-24, policy report). Privacy Enhancing Technologies (PETs) Policy Working Group, Chair for two data policy reports (2019, 2023).
  • Royal Academy of Engineering, Engineering Biology Steering Group (policy report, 2019).

 National Assessment Panels

  • REF2021, Sub-panel 12 (Engineering), 2018-22, Member.

National and International Prize Committees

  • Schmidt Science Fellowships Final Selection, 2022-current, Panel Member and Panel Chair (2026).
  • Blavatnik Awards for Young Scientists in the United Kingdom, 2020, Jury Member.
  • Queen Elizabeth Prize in Engineering, Search and Nominations Group, 2016-18, Member.

UKRI Committees and Panels

  • EPSRC: SETB, 2022-26, Member. Healthcare Technology Strategic Advisory Team, 2017-19, Chair; 2014-19, Member.
  • Medical Research Council: Translational Research Group (TRG), 2014-19, Member. Stratified Medicine Group, 2016-19, Member. Reports to TRG. Innovate UK/MRC Biomedical Catalyst MAC Panel, 2014-16, Member. Confidence in Concept Panel, 2012-14, Member.

National Panels and Advisories – Other

  • UK Government Department Advisor – UK AI for Science Strategy, Expert group member advising on development of UK strategy. 2025.
  • Office for National Statistics, Integrated Data Programme Advisory Group, Member, 2021-22.
  • Government Blackett Review Panel, Member, 2016-17.
FedExIT - Missing Class-agnostic Semi-Supervised Federated Learning with Extreme Imbalance Tackling Scheme
Saha P,  Mishra D,  Wagner F,  Kamnitsas K,  Noble JA,  et al. (2026)
A visually grounded language model for fetal ultrasound understanding.
Guo X,  Alsharid M,  Zhao H,  Wang Y,  Lander J,  Papageorghiou AT,  Noble JA,  et al. (2026)
Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography
Yang Y,  Yang Q,  Peng C,  D'Alberti E,  Patey O,  Papageorghiou AT,  Noble JA,  et al. (2026)
View-Guided Multi-Task Learning for Fetal Cardiac Segmentation and CHD Classification
Yang Y,  Yang Q,  Peng C,  Liu Y,  Noble JA,  et al. (2026)
SchistoTrackNet: machine learning for diagnosis of schistosomiasis-associated periportal fibrosis from ultrasound images
Ockenden E,  Anguajibi V,  Mpooya S,  Ntegeka B,  Mugume T,  Nabatte B,  Kabatereine N,  Noble JA,  Chami GF,  et al. (2026)
SchistoTrackVideoNet: multilabel deep learning-based classification of schistosomal periportal fibrosis from ultrasound video
Ockenden E,  Anguajibi V,  Mpooya S,  Ntegeka B,  Mugume T,  Nabatte B,  Kabatereine N,  Noble JA,  Chami GF,  et al. (2026)
Terminal Digit Preference and Threshold Avoidance in Digital Blood Pressure Measurements During Pregnancy: Secondary Analysis of Data From the CLIP and PRECISE Cohorts
von Dadelszen P,  Sandhu A,  Bone JN,  Qureshi RN,  Dada OA,  Mallapur AA,  Temmerman M,  Volvert M-L,  Waiswa J,  Mukhanya M,  Mistry HD,  Goudar SS,  Jah H,  Koech A,  Sacoor C,  Vala A,  Munguambe K,  Roca A,  Adetoro OO,  Sevene E,  Vidler M,  Bellad MB,  Sotunsa J,  Blencowe HJ,  Bhutta ZA,  d'Alessandro U,  Ansermino JM,  Dumont GA,  Magee LA,  Sevene E,  Macete E,  Munguambe K,  Sacoor C,  Vala A,  Boene H,  Amose F,  Pires R,  Nhamirre Z,  Macamo M,  Chiaú R,  Matavele A,  Vilanculo F,  Nhancolo A,  Cutana S,  Mandlate E,  Macuacua S,  Bique C,  Mocumbi S,  Gonçalves E,  Maculuve S,  Biz AI,  Mulungo D,  Augusto O,  Filimone P,  Nobela V,  Tchavana C,  Nkumbula C,  Qureshi R,  Bhutta ZA,  Hoodbhoy Z,  Raza F,  Sheikh S,  Memon J,  Ahmed I,  Hussain A,  Bellad MB,  Charantimath US,  Goudar SS,  Katageri GM,  Kavi AJ,  Revankar AP,  Mallapur AA,  Ramdurg UY,  Bannale SG,  Dhamanekar VB,  Mungarwadi GI,  Honnungar NV,  Kodkany BS,  Joshi AM,  Kudachi US,  Mastiholi SS,  Karadiguddi CC,  Kengapur GS,  Kamble NA,  Chougala KS,  Ansermino JM,  Betrán AP,  Derman R,  Dharamsi S,  Donnay F,  Drebit S,  Dumont G,  Engelbrecht SM,  Fillipi V,  Firoz T,  Grobman W,  Knight M,  Langer A,  Lewin S,  Lewis G,  Mitton C,  Schuurman N,  Shennan AH,  Singer J,  Thornton JG,  Wong H,  Adetoro OO,  Bellad MM,  Bhutta ZA,  von Dadelszen P,  Goudar SS,  Liljestrand J,  Magee LA,  Mallapur AA,  Munguambe K,  Payne BA,  Qureshi R,  Sacoor C,  Sevene E,  Sharma S,  Sotunsa JO,  Vidler M,  Byaruhanga RN,  Darlow B,  Hutton E,  Merialdi M,  Thabane L,  D'Alessandro U,  Roca A,  Jah H,  Bah A,  Bah Y,  Diallo B,  Gabbidon G,  Gibba L,  Idris Y,  Kongira F,  Martinez-Alvarez M,  Ndure MF,  Njie B,  Prentice A,  Sesay A,  Suso S,  Touray F,  Temmerman M,  Koech A,  Juma C,  Mendy T,  Mukhanya M,  Mwaniki I,  Mwashigadi G,  Mutunga J,  Mwadime E,  Ochieng M,  Okiro P,  Omuse G,  Wanje O,  Sevene E,  Vala A,  Boene H,  Carrilho C,  Macuacua S,  Maculuve S,  Mandomando I,  Quimice L,  Tchavana C,  Makanga PT,  Makacha L,  Mlambo R,  von Dadelszen P,  Magee LA,  Craik R,  Volvert M-L,  Mistry H,  Flint-O'Kane M,  Strang A,  Daniele M,  Poston L,  Tribe R,  Moore S,  Salisbury T,  Papageorghiou A,  Noble A,  Blencowe H,  Filippi V,  Lawn J,  Silver M,  Akuze J,  Gazeley U,  Cartwright BBJ,  Whitley G,  Krishna S,  Jing MV,  et al. (2026)
Incidence and risk factors for stillbirth in Kenya, Mozambique and the Gambia: the PRECISE cohort study
Mwashigadi G,  Akuze J,  Koech A,  Jah H,  Roca A,  D'Alessandro U,  Sevene E,  Maculuve S,  Valá A,  Singh S,  Atkins B,  Omuse G,  Mukhanya M,  Volvert M-L,  Magee L,  Craik R,  Temmerman M,  von Dadelszen P,  Blencowe H,  D’Alessandro U,  Roca A,  Jah H,  Prentice A,  Martinez-Alvarez M,  Diallo B,  Sesay A,  Suso S,  Njie B,  Touray F,  Idris Y,  Kongira F,  Ndure MFS,  Gibba L,  Bah A,  Bah Y,  Temmerman M,  Abubakar A,  Waljee AK,  Koech A,  Okiro P,  Omuse G,  Mwashigadi G,  Juma C,  Mutunga J,  Mukhanya M,  Wanje O,  Mwaniki I,  Ochieng M,  Mwadime E,  Sevene E,  Tchavana C,  Macuacua S,  Vala A,  Boene H,  Quimice L,  Maculuve S,  Mandomando I,  von Dadelszen P,  Magee LA,  Craik R,  Volvert M-L,  Mistry H,  Mendy T,  Russell D,  Makanga PT,  Makacha L,  Mlambo R,  Poston L,  Tribe R,  Moore S,  Salisbury TT,  Papageorghiou A,  Noble A,  Craik R,  Blencowe H,  Filippi V,  Lawn J,  Silver M,  Akuze J,  Gazeley U,  Cartwright J,  Whitley G,  Krishna S,  Vidler M,  Li J,  Bone J,  Kinshella M-LW,  Tu D,  Sandhu A,  Pickerill K,  Carillho C,  Barratt B,  et al. (2026)