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Dr Tingting Zhu

Professor

Tingting Zhu BEng DPhil (Oxon) MSc

Associate Professor in AI for Digital Health

Non-Tutorial Fellow at Kellogg College

Royal Academy of Engineering Fellow

Stipendiary College Lecturer at Mansfield College

COLLEGE: Kellogg College, Mansfield College;

Biography

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.

Most Recent Publications

Student Loss: Towards the Probability Assumption in Inaccurate Supervision.

Student Loss: Towards the Probability Assumption in Inaccurate Supervision.

Altmetric score is

Temporal dynamics unleashed: elevating variational graph attention

Temporal dynamics unleashed: elevating variational graph attention

Altmetric score is

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification

Altmetric score is

Data encoding for healthcare data democratization and information leakage prevention

Data encoding for healthcare data democratization and information leakage prevention

Altmetric score is

Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.

Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.

Altmetric score is
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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.

Current Projects

  • Machine learning for improving decision-making with telemedicine
  • Prognosis and diagnosis of adversarial events in multimorbid population
  • Dynamic modelling for understanding the impact of interventions on the hospital system
  • Phenotyping patients with complex diseases via electronic patient information
  • Machine learning for early cancer detection as well as treatment response
  • Digital twin and its application in healthcare
  • Modelling of treatment effect and treatment recommendation

Most Recent Publications

Student Loss: Towards the Probability Assumption in Inaccurate Supervision.

Student Loss: Towards the Probability Assumption in Inaccurate Supervision.

Altmetric score is

Temporal dynamics unleashed: elevating variational graph attention

Temporal dynamics unleashed: elevating variational graph attention

Altmetric score is

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification

Altmetric score is

Data encoding for healthcare data democratization and information leakage prevention

Data encoding for healthcare data democratization and information leakage prevention

Altmetric score is

Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.

Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.

Altmetric score is
View all

DPhil Opportunities

Prof Zhu offers a wide range of machine learning projects for healthcare in both developed and developing countries. Prospective DPhil students should get in touch indicating their interest.

Most Recent Publications

Student Loss: Towards the Probability Assumption in Inaccurate Supervision.

Student Loss: Towards the Probability Assumption in Inaccurate Supervision.

Altmetric score is

Temporal dynamics unleashed: elevating variational graph attention

Temporal dynamics unleashed: elevating variational graph attention

Altmetric score is

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification

Altmetric score is

Data encoding for healthcare data democratization and information leakage prevention

Data encoding for healthcare data democratization and information leakage prevention

Altmetric score is

Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.

Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.

Altmetric score is
View all