Dr. Yuntao Chen

Biography

Yuntao Chen is a trained medical statistician with a PhD focused on clinical prediction modeling. His research particularly emphasizes dynamic prediction models utilizing longitudinal data to enhance prediction capabilities over static models. A notable example of his work includes the integration of repeated measurements of cardiac biomarkers, such as NT-proBNP, to predict prognosis in heart failure patients. During his PhD, he participated in an Economic and Social Research Council funded international project aimed at forecasting future cases of dementia and disability in the UK and China, enabling him to apply advanced longitudinal modeling techniques learned during his studies, including multi-state models and joint modeling of longitudinal and survival data, in aging research. Currently, he is engaged in projects that concentrate on modifiable risk factors for dementia utilizing longitudinal cohort data from the Whitehall II study, the English Longitudinal Study of Ageing, and the Chinese Longitudinal Healthy Longevity Survey. Furthermore, he has a keen interest in environmental risk factors like air pollution and has initiated a Wellcome Early-Career Fellowship that examines the role of air pollutants in the development of dementia using the respected Whitehall II study.

Research Interests

Experience