This project aims to estimate risks for a range of health conditions based on environmental factors, which can be useful for policy makers even in areas where local health data might be limited.
Yajie Zhu is a Machine Learning Scientist at Alibaba headquarters in Hangzhou, China.
While a researcher on the PEAK Urban programme based at the Nuffield Department of Women's & Reproductive Health, he applied machine learning and deep learning for environmental health research to understand the combined impact of different environmental factors on a range of health outcomes.
He was also a team member of the Oxford Martin Programme on Deep Medicine, developing and testing deep learning models that could leverage the depth and breadth of electronic health records to give a richer representation of an individual’s past and current health condition.
Yajie completed his PhD on Geographic Information System at Peking University and finished his undergraduate study on Geomatics Engineering with emphasis on Global Navigation Satellite System at Wuhan University.
His research areas include spatio-temporal big data, machine learning and deep learning, and recently, global health. He also has practical working experience in applying data science on digitised chemistry.