Tingting Zhu is an Associate Professor in AI for Health and a Non-Tutorial Fellow at Kellogg College, University of Oxford, where since October 2011, research focuses on developing machine learning techniques for analyzing complex patient data, particularly using Bayesian inference and deep learning in the context of the developing world. Previously held positions include Royal Academy of Engineering Research Fellow, and various roles at University College London, Harvard University, and other institutions, contributing to projects ranging from cardiac health monitoring systems to crowdsourcing in time series annotations. Tingting Zhu's academic credentials include a DPhil in Healthcare Innovation from the University of Oxford, an MSc in Biomedical Engineering from UCL, and a B.Eng in Electrical and Electronics Engineering from the University of Malta.
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