Jane is responsible for College's communications both internally and externally. She defines, develops and implements an innovative and compelling PR and Communication plan aligned to the College's strategic plan,
promoting the work of the College and upholding its brand and reputation.
My group works on understanding the reactions that occur at the interfaces between functional materials during operation, that are critical to areas including electrochemical energy storage, heterogeneous catalysis, and materials synthesis. Extracting information about interface structure and chemistry under such working conditions is extremely challenging due to interference from dense phases either side (including the reaction environment). To achieve this, we use a suite of interface sensitive techniques based on electron, X-ray, and neutron probes combined with specially designed reaction environments. This significantly extends the capabilities of these techniques to enable the measurement of liquid environments under electrochemical bias or high-pressure gas environments at elevated temperatures. We aim to use these approaches to establish relationships between interfacial structure and material function in a variety of applications and thus inform the design of improved materials. We further aim to promote widespread adoption of these new characterisation capabilities using both lab-based instruments and at large-scale facilities. To this end, we have close interactions with a number of user facilities including those based at the nearby Harwell Campus (Diamond, ISIS, HarwellXPS).
Professor Tingting Zhu graduated with the DPhil degree in information and biomedical engineering at Oxford University in 2016. This followed her MSc in Biomedical Engineering at University College London and BEng (Hons) in Electrical Engineering from the University of Malta.
After DPhil, Tingting was awarded a Stipendiary Junior Research Fellowship at St. Hilda's College, Oxford. In 2018, Tingting was appointed as the first Associate Member of Faculty at the Department of Engineering Science; in 2019, following the award of her Royal Academy of Engineering Research Fellowship, she was appointed to full Member of Faculty at the Department of Engineering Science.
Tingting is a Non-Tutorial Fellow at Kellogg College and a Stipendiary College Lecturer at Mansfield College.
Research interests
Tingting’s research interests lie in machine learning for healthcare applications and she has developed probabilistic techniques for reasoning about time-series medical data. Her work involves the development of machine learning for understanding complex patient data, with an emphasis on Bayesian inference, deep learning, and applications involving the developing world.