Huiqi (Yvonne) Lu

Fulford Junior Research Fellow; Daphne Jackson Research Fellow

Huiqi obtained her DPhil at the Industrial Informatics and Signal Processing Group, in the Department of Engineering at the University of Sussex in 2008.

During her doctoral study, she developed a commercial iris-identification system for use on mobile phones, which led to a patent and her work being presented at the House of Commons in 2007. Huiqi then worked on breast cancer research at the University of Sussex and the John Radcliffe Hospital, Oxford, followed by research into diabetic retinopathy at the University of Liverpool and the Royal Liverpool Hospital.

Huiqi joined the Institute of Biomedical Engineering at the University of Oxford in 2018. Her current research is focussed on the development of machine learning methods for robustly tracking patient condition using home-monitoring systems for chronic disease. In 2019, she was awarded a Daphne Jackson Trust / Royal Academy of Engineering Fellowship, which supports her as an independent investigator focused on technology for maternal and child health.


Assessment of Hypertension Using Clinical Electrocardiogram Features: A First-Ever Review.
Bird K, Chan G, Lu H, et al.
Front Med (Lausanne). 2020

Mapping Hypoxia in Renal Carcinoma with Oxygen-enhanced MRI: Comparison with Intrinsic Susceptibility MRI and Pathology
Ross A. Little, Yann Jamin, Jessica K. R. Boult, Josephine H. Naish, Yvonne Watson, Susan Cheung, Katherine F. Holliday, Huiqi Lu, Damien J. McHugh, Joely Irlam, Catharine M. L. West, Guy N. Betts, Garry Ashton, Andrew R. Reynolds, Satish Maddineni, Noel W. Clarke, Geoff J. M. Parker, John C. Waterton, Simon P. Robinson, and James P. B. O’Connor
Radiology 2018 288:3, 739-747

Standardization of choroidal thickness measurements using enhanced depth imaging optical coherence tomography.
Boonarpha N, Zheng Y, Stangos AN, et al.
International Journal of Ophthalmology 2015;8(3): 484-491 2015 doi:10.3980/j.issn.2222-3959.2015.03.09

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