Dr David Wong

Profile

I am an associate professor of health informatics and data science at the Leeds Institute of Health Informatics. I was previously based in the Centre for Health Informatics and the Department of Computer Science at the University of Manchester. I trained in Engineering Science at the University of Oxford and was supervised by Prof. Lionel Tarassenko CBE, Head of the Department of Engineering Science. I am also a Turing fellow and part of the Computer Vision Neurology collaborative group.

I was formerly a post-doctoral researcher at the University of Oxford's Institute of Biomedical Engineering and a lecturer in Engineering Science at Brasenose College, where I taught undergraduate engineering mathematics. I also lectured on Biosignal Processing and Mathematical Methods within the CDT in Healthcare Innovation D.Phil programme.

My 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 techniques
• Diagnosis of cardiac conditions from ECG data using neural networks
• Computer vision methods to quantify symptoms of movement disorders from video.

Alongside my research, I have 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.

Qualifications

• D.Phil
• M.Eng

Professional memberships

• IEEE Member

Research groups and institutes

• Leeds Institute of Health Sciences