Published several papers such as 'Towards deployment-centric multimodal AI beyond vision and language', 'Explainability in the age of large language models for healthcare.', etc.
Research Experience
After her DPhil, Tingting was awarded a Stipendiary Junior Research Fellowship at St. Hilda's College, Oxford. In 2018, she 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. She is a Non-Tutorial Fellow at Kellogg College and a Stipendiary College Lecturer at Mansfield College.
Education
Graduated with a DPhil in Information and Biomedical Engineering from Oxford University in 2016; previously obtained an MSc in Biomedical Engineering from University College London and a BEng (Hons) in Electrical Engineering from the University of Malta.
Background
Her research interests lie in machine learning for healthcare applications, particularly in Bayesian inference and deep learning for time-series medical data. Her work focuses on understanding complex patient data.