Metadata
Title
Zhangdaihong (Jessie) Liu
Category
undergraduate
UUID
a2ed938128fd45b5875ac17e9009da15
Source URL
https://eng.ox.ac.uk/people/zhangdaihong-jessie-liu
Parent URL
https://eng.ox.ac.uk/people?c=Academic+Visitors
Crawl Time
2026-03-09T03:29:13+00:00
Rendered Raw Markdown

Zhangdaihong (Jessie) Liu

Source: https://eng.ox.ac.uk/people/zhangdaihong-jessie-liu Parent: https://eng.ox.ac.uk/people?c=Academic+Visitors

EMAIL: Jessie.Liu@oxford-oscar.cn

TEL: 01865 617670

LOCATION: Institute of Biomedical Engineering, Old Road Campus Research Building, Oxford OX3 7DQ

Biography

Research

Biography

Zhangdaihong (Jessie) Liu undertook her PhD at the Mathematics for Real-World Systems CDT at University of Warwick. During this time, she was also a visiting PhD student at the Big Data Institute, University of Oxford, and a PhD enrichment student at the Alan Turing Institute. Prior to this, she obtained an MSc in Mathematics of Systems from Warwick University, an MSc in Mathematical Finance at Loughborough University, and a BSc in Mathematics at Shandong University, China.

Her PhD thesis entitled ‘Latent Variable Modelling of Population Neuroimaging and Behavioural Data’ focused on the development of a dimension reduction method that improves the interpretability of latent variable models applied to health-related datasets. Her research also involved uncovering latent patterns between neuroimaging, behavioural and demographic measures, as well as the application of various large dataset processing techniques.

Jessie’s research interests also include predictive modelling, feature extractions, recommender systems, deep learning and reproducible research

Research Interests

Research Groups

Biomedical Signal Processing and Instrumentation

Current Projects

Jessie is using a large-scale, freely-available relational database of intensive care patients to stratify heart failure patients to understand and improve prediction accuracy. She is also working on the validation of a model developed at Oxford for severity prediction in Covid-19 patients using data from hospitals in Wuhan, China.

News

[05 Mar 2026

Oxford Engineering students power Dark Blue varsity victories](/news/oxford-engineering-students-power-dark-blue-varsity-victories)

[04 Mar 2026

Study reveals unexpected long-term decline in energy use in small off-grid solar home systems](/news/study-reveals-unexpected-long-term-decline-in-energy-use-in-small-off-grid-solar-home-systems)

[02 Mar 2026

Engineering Alumnus Paul M. Hubel named the 2026 Edwin H. Land Medal Recipient](https://www.optica.org/get_involved/awards_and_honors/awards/award_winner_press_releases-2a8be47a26a5ec81e9523c90ea425bbc-156f3d3faaa7084e1bc156a90f05be89/2026_edwin_land_medal_winner/)

[27 Feb 2026

Reception at no. 11 Downing Street marks anniversary of Oxford-Cambridge Growth Corridor](/news/reception-at-no-11-downing-street-marks-anniversary-of-oxford-cambridge-growth-corridor)