Peter Ka Hung Chan
BSc., MSc., DPhil., AFHEA.
Oxford British Heart Foundation Centre of Research Excellence Intermediate Transition Research Fellow in Cardiovascular Research
Environmental and cardiovascular epidemiology
Peter is an Oxford British Heart Foundation Centre of Research Excellence Intermediate Transition Research Fellow in the Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU).
His research is based on the China Kadoorie Biobank and UK Biobank and focuses on the understanding of the effects of environmental exposures on major chronic diseases, particularly cardiovascular disease. He is particularly interested in integrating multi-dimensional data (e.g. wearable devices, OMICs) to assess the health impact of environmental exposures more accurately and comprehensively.
Before joining CTSU, Peter has received training in epidemiology, having obtained an MSc in Global Health Science and a DPhil in Population Health, both from Oxford Population Health. He had also studied public health at The Chinese University of Hong Kong, Johns Hopkins Bloomberg School of Public Health, and Copenhagen School of Global Health.
Recent publications
Proteomic signatures of smoking and their associations with risk of incident diseases and mortality in diverse populations.
Journal article
Xiao S. et al, (2025), Nat Commun, 17
Aggravated Risks of Emergency Hospitalizations Associated with Temperature amid Elevated Ambient Air Pollution: Evidence from a 20-Year Time-Series Study in Hong Kong.
Journal article
Guo YT. et al, (2025), Environ Sci Technol, 59, 27107 - 27117
Patterns and correlates of visual impairment and ocular hypertension among older adults in the general Chinese population: results from the CKB Biobank.
Journal article
Shao Z. et al, (2025), Br J Ophthalmol, 110, 107 - 116
International collaboration in cohort studies in China: opportunities and challenges.
Journal article
Chan KH. et al, (2025), BMJ, 391
Proteomic signatures of smoking and their associations with risk of incident diseases and mortality in diverse populations
Preprint
Xiao S. et al, (2025)
