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Dr Ken (Kezhi) Li
UCL Institute of Health Informatics
222 Euston Road
Dr Ken (Kezhi) Li profile picture
  • Lecturer in Artificial Intelligence in Healthcare
  • Institute of Health Informatics
  • Faculty of Pop Health Sciences
Research Summary

Ken (Kezhi) Li is a lecturer (Assistant Professor) of AI in Healthcare, at 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 80 research papers in leading journals (total IF>300) and conference proceedings including 

IEEE: 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, etc; 

Clinical: Nature Methods, NPJ Digital Medicine, Diabetes Technology & Therapeutics, Alzheimer's & Dementia, Heart, BMJ, JAMIA, etc

Physics: Scientific Reports, Physical Review A, etc

AI/Data conference: NeurIPS, IJCAI, CHI, ICASSP, ISCAS, BioCAS, ITW, IFAC, etc.

Teaching Summary

He is the director of MRes study (UKRI UCL Centre for Doctoral Training in AI-enabled Healthcare Systems) and the Module leader of: 

CHME0032: Healthcare Artificial Intelligence Journal Club (19-23)

CHME0033: Dissertation in Artificial Intelligence Enabled Healthcare (19-23)

CHME0035: Advanced Machine Learning for Healthcare (20-23)

CHME0016: Machine Learning in Healthcare and Biomedicine (19-20)

He also has been engaging in the module

CHME0016: Machine Learning in Healthcare and Biomedicine (20-21)

CHME0021: Dissertation in Health Data Science (19-23)

CHME0018: Machine Learning in Health Care (19-23)

CHME0020: Dissertation in Health Data Analytics  (19-23)

Other Teaching in

CHME0030: Health Analytics Principle (HAP) 2021-2023

UCL Data Science in Healthcare Summer School 2022

Prior to joining UCL, he has experience in teaching/demonstrating courses in Python, machine learning, advanced machine learning, computer vision, image processing, statistical signal processing, matlab, information theory, control theory, delphi, etc. 

2017 – 2019 Senior Research Associate   Imperial College London, United Kingdom
2015 – 2017 Postdoctoral Research Scientist   Medical Research Council, United Kingdom
2014 – 2015 Research Associate   University of Cambridge, United Kingdom
2013 – 2014 Research Fellow   Royal Institute of Technology (KTH), Sweden
Academic Background
2013   Doctor of Philosophy Imperial College of Science, Technology and Medicine
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