Professor Tingting Zhu - University of Oxford

Professor Zhu’s research interests lie in machine learning for healthcare applications and has developed probabilistic techniques for reasoning about time-series medical data. Her work involves the development of machine learning for understanding complex multimodal patient data, with an emphasis on Bayesian inference, deep learning, and applications involving the developing world. She has extensive experience in analysing data collected from sensors or devices and electronic health records, as well as creating tools to provide cost-effective diagnosis and prediction of patient’s health status, with the aim to provide decision support for prioritising resources needed for bettering patient outcomes.

Dr Zhu plans to work on developing novel machine learning methodologies for improving patient health in a global setting, such as creating digital twin models for phenotyping complex diseases, diagnosis and prognosis of adversarial events, and treatment monitoring and recommendation, with a focus on individuals with multiple long-term conditions including chronic diseases and cancer.