Dr. Wong is an associate professor of Health Data Science at the university of Leeds. He was previously based at at the University of Manchester. He trained in Engineering Science at the University of Oxford, and was supervised by Prof. Lionel Tarassenko CBE, Head of the Department of Engineering Science. He is also a Turing fellow and part of the Computer Vision Neurology collaborative group.
David was formerly a post-doctoral researcher in the University of Oxford's Institute of Biomedical Engineering and lecturer in Engineering Science at Brasenose College, where he taught undergraduate engineering mathematics. He also lectured on Biosignal Processing and Mathematical Methods within the CDT in Healthcare Innovation D. Phil programme.
His research interests focus on investigating the impact of using continuous signals to assist clinicians in diagnosing and monitoring patients. Examples of specific research projects include:
- Vital sign data fusion to detect early deterioration in in-hospital patients using machine learning techiques.
- Diagnosis of cardiac conditions from ECG data using neural networks
- Computer vision methods to quantify symptoms of movement disorders from video
Alongside his research, he has been a primary contributor to the SEND e-observation system, used within the Oxford University and South Warwickshire Foundation Trusts to record nursing observations for all hospital in-patients. This system is licensed to Sensyne Health, one of the UK's leading clinical Artificial Intelligence companies.