Daniel Avery is a Data Analyst with the China Kadoorie Biobank at the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford. He graduated with an MSc in Research Methods from the University of Bristol before working for a number of companies in the retail sector performing data management roles. He is responsible for helping develop and manage the CKB database, ensuring the research team and collaborators have access to reliable and high quality data.
His primary duties include:
Developing and maintaining several of the tools used for automatic generation of datasets, as well as tools used for building and testing new data releases.
Acting as a knowledge bank for in-house researchers, about how data was gathered and managed, as well as known pitfalls or challenges associated with each data source.
Importing, cleaning and standardising information from sources as diverse as Health Insurance agencies, meteorological stations, urinalysis devices and genetic assays.
Generally trying to make the lives of CKB researchers easier.
Genetically Predicted Differences in Systolic Blood Pressure and Risk of Cardiovascular and Noncardiovascular Diseases: A Mendelian Randomization Study in Chinese Adults.
Clarke R. et al, (2023), Hypertension
Association between pneumonia hospitalisation and long-term risk of cardiovascular disease in Chinese adults: A prospective cohort study.
Hu Y. et al, (2023), EClinicalMedicine, 55
Tobacco smoking and risks of more than 470 diseases in China: a prospective cohort study.
Chan KH. et al, (2022), Lancet Public Health, 7, e1014 - e1026
Maintaining healthy sleep patterns and frailty transitions: a prospective Chinese study.
Zhu Y. et al, (2022), BMC Med, 20
External validation of models for predicting risk of colorectal cancer using the China Kadoorie Biobank.
Abhari RE. et al, (2022), BMC Med, 20