Group Members

Ken (Kezhi) Li

Ken (Kezhi) Li is an Associate Professor of AI in Healthcare, at the Institute of Health Informatics (IHI), University College London (UCL). He is passionate about solving physiological, medical, clinical, operational problems in healthcare using AI techniques. Specifically, he has expertise in AI in healthcare. Biomedical time series analysis using monitors/wearables. Diabetes management. Patient flow optimization. Prediction and risk management using clinical data.
Dr. Li has published over 100 research papers in leading journals and conference proceedings including IEEE Journal of Biomedical and Health Informatics, IEEE Internet of Things Journal, IEEE Sensors Journal; IEEE Trans on Signal Processing, IEEE Trans on Automatic Control, IEEE Trans on Cybernetics, IEEE Trans on Wireless Communications; Nature Methods, Diabetes Technology & Therapeutics, Alzheimer’s & Dementia, Heart, BMJ, JAMIA, Scientific Reports, Physical Review A; NeurIPS, IJCAI, CHI, ICASSP, ISCAS, BioCAS, ITW, IFAC, etc.
Homepage
Email: ken.li@ucl.ac.uk
Educations:

• PhD at the Imperial College of Science, Technology and Medicine, UK
• Undergraduate degree at the University of Science and Technology of China (USTC), China

Paul Taylor

Paul Taylor now is a professor at the Institute of Health Informatics (IHI), University College London (UCL). He focuses on software to improve clinical decision making. Most of the applications he has looked at in recent years concern medical imaging, including the use of AI in mammography, in retinal imaging and chest radiographs. He is interested in seeing how recent advances in the application of neural networks to medical imaging can be most effectively applied to improve the quality of clinical decision making. He is also active in the use of large datasets, including image databases, to improve the understanding of disease and the effectiveness of treatment, using a large collection of data on ophthalmology from 28 different hospitals.
He teaches on the UCL Postgraduate programmes in Health Informatics, where he is responsible for the core module ‘Essentials of Informatics for Health Systems’, ‘Health Data Analyics’ and ‘Health Data Science’, and on the UCL MBBS programme.
Homepage
Email: p.taylor@ucl.ac.uk
Educations:

• PhD at the University College London, UK
• Master of Science at the Imperial College of Science, Technology and Medicine
• Undergraduate degree at the University of Bristol, UK

Thomas Keen (Supervisor - Steve Harris)

PhD student, Institute of Child Health, 2021-.
Homepage
Email: t.keen@ucl.ac.uk
Educations:

• Undergraduate and postgraduate in Mathematics & Philosophy, at University of Oxford, UK

Chris Tomlinson (Supervisor - Alvina Lai)

PhD student, Artificial Intelligence Enabled Healthcare, 2021-2024.
Homepage
Email: christopher.tomlinson@ucl.ac.uk
Educations:

• MRes at University College London (UCL), UK
• MBBS at University College London (UCL), UK

Thomas Frost (Supervisor - Steve Harris)

PhD student, Artificial Intelligence Enabled Healthcare, 2022-2025.
Homepage
Email: thomas.frost.21@ucl.ac.uk
Educations:

• MRes at University College London (UCL), UK
• Master of Arts in Medical Sciences at University of Oxford, UK
• BMBCh at University of Oxford, UK

Jennifer Hunter (Supervisor - Steve Harris)

PhD student, Artificial Intelligence Enabled Healthcare, 2022-2025.
Homepage
Email: j.hunter@ucl.ac.uk
Educations:

• MRes at University College London (UCL), UK
• Bachelor of Medicine and Bachelor of Surgery at University of Oxford, UK

Zhijun Guo (Co-supervisor - Alvina Lai)

PhD student, Health Informatics, 2023-2027
Homepage
Email: zhijun.guo.21@ucl.ac.uk
Educations:

• MSc in Health Data Science, at University College London (UCL), UK
• BA in Mathematics, at Kings College London (KCL), UK

Hengrui Zhang

PhD student, Health Informatics, 2023-2027.
Homepage
Email: hengrui.zhang.21@ucl.ac.uk
Educations:

• MSc in Health Data Science, at University College London (UCL), UK
• BSc in Computer Science, at University of Warwick, UK

Yu Wang

PhD student, Artificial Intelligence Enabled Healthcare, 2024-2027.
Homepage
Email: yu.w.23@ucl.ac.uk
Educations:

• MRes at University College London (UCL), UK
• MSc, BSc at Beijing Insitute of Technology (BIT), China

Lei Lei (Co-supervisor - Hubin Zhao)

PhD student, Medical Physics and Bioengineering, 2024-2028.
Homepage
Email: lei.lei.21@ucl.ac.uk
Educations:

• MSc at University College London (UCL), UK
• BSc at Beijing Jiaotong University (BJTU), China

Luyuan Qi (Co-supervisor - Paul Taylor)

PhD student (supported by Flock.io and Moorfields Hospital), Institute of Health Informatics, 2024-2028.
Homepage
Email: luyuan.qi.24@ucl.ac.uk
Educations:

• MEng at University of Cambridge, UK
• BSc at University of Cambridge, UK

Joseph Farrington

PhD, Artificial Intelligence Enabled Healthcare, 2020-2024.
Homepage
Email: joseph.farrington.18@ucl.ac.uk
Educations:

• MRes at University College London (UCL), UK
• MSc in Machine Learning, at University College London (UCL), UK
• BA in Natural Sciences, at University of Cambridge, UK

Thesis: Machine learning and GPU-accelerated computing applied to platelet inventory management in a hospital blood bank

Zhiqiang (Alan) Huo

Zhiqiang (Alan) Huo now is with Queen Marry as an Assistant Professor since Feb 2025.
Homepage
Email: z.huo@ucl.ac.uk
Educations:

• PhD at the University of Lincoln, UK
• Undergraduate degree at China University of Geosciences, Beijing (CUGB), China

Zella King

Zella King is now a senior research fellow at UCL Clinical Operational Research Unit.
Homepage
Email: zella.king@ucl.ac.uk
Educations:

• PhD at the Organizational Psychology from Birkbeck College, US
• Undergraduate degree at the University of Cambridge, UK

Chengzhe Piao (Co-supervisor - Jun Wang)

PhD student, Artificial Intelligence Enabled Healthcare, 2022-2025.
Homepage
Email: chengzhe.piao.21@ucl.ac.uk
Educations:

• MRes at University College London (UCL), UK
• MSc, BSc at Beijing Insitute of Technology (BIT), China