PeopleofSuperintelligence

Researcher

Tingting Zhu

Tingting Zhu is an Oxford researcher who applies machine learning to healthcare. She earned a BEng with honours in electrical engineering at the University of Malta and an MSc in biomedical engineering at University College London before completing an Oxford DPhil in information and biomedical engineering in 2016. Her work has included wearable-sensor monitoring and detection of autonomic nervous system dysfunction, Bayesian fusion of physiological signals, kidney-transplant decision support, and causal graph neural networks. As of October 2026, she is an Associate Professor in AI for Digital Health at Oxford.

Now at
Kellogg College, University of Oxford and Mansfield College

Timeline

  1. 2016

    An Oxford DPhil

    She earns a BEng with honours in Electrical Engineering at the University of Malta and an MSc in Biomedical Engineering at University College London before completing a DPhil in information and biomedical engineering at Oxford in 2016. Her doctoral work develops probabilistic methods for combining wearable-sensor data to monitor medical time series.

  2. By 2019

    Oxford faculty appointments

    After her DPhil, she holds a Stipendiary Junior Research Fellowship at St Hilda's College, Oxford. In 2018, she becomes the first Associate Member of Faculty in Oxford Engineering Science; in 2019, she joins its full faculty after receiving a Royal Academy of Engineering Research Fellowship for clinical AI work on multimorbidity in hospitals in low- and middle-income countries. She also receives the IET J.A. Lodge award in 2019.

  3. 2019

    Autonomic dysfunction detection

    In 2019, she coauthors a proof-of-principle machine-learning tool that classifies autonomic nervous system dysfunction levels from ECG and PPG waveforms in datasets of patients in Vietnam with hand, foot and mouth disease and tetanus. These waveforms can be collected with low-cost wearable sensors.

  4. 2021

    Bayesian fusion of signals

    In 2021, she coauthors a study comparing parametric and non-parametric Bayesian models for fusing respiratory-rate estimates from photoplethysmogram signals.

  5. January 2026

    Kidney transplant decision support

    By January 2026, she is Co-Investigator and Lead for Work Package 1, Model Development, in a five-year NIHR programme on AI decision support for kidney transplantation.

  6. August 2026

    Causal graphs for healthcare

    In August 2026, she coauthors a Nature Biomedical Engineering perspective on causal graph neural networks for healthcare. The paper reviews causal inference methods and graph approaches for intervention prediction and counterfactual reasoning.

  7. August 2026

    Supervising healthcare LLM research

    In August 2026, she supervises an Oxford UNIQplus internship project on reasoning enhancement in large language models for healthcare applications.

  8. As of October 2026

    Associate Professor at Oxford

    As of October 2026, she is an Associate Professor in AI for Digital Health in the University of Oxford's Department of Engineering Science and a Non-Tutorial Fellow at Kellogg College.

Career

  1. Since 2023Kellogg College, University of OxfordNon-Tutorial Fellow
  2. Since 2023University of OxfordAssociate Professor in AI for Digital Health
  3. NowMansfield CollegeStipendiary College Lecturer
  4. St Hilda's College, University of OxfordStipendiary Junior Research Fellow

Education

  1. 2016University of OxfordDPhil in Information and Biomedical Engineering
  2. University of MaltaBEng in Electrical Engineering
  3. University College LondonMSc in Biomedical Engineering

From the biography.

Checked career sources: eng.ox.ac.uk, eng.ox.ac.uk, kellogg.ox.ac.uk, ndownloader.figshare.com.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Tingting Zhu - People - Engineering Science Department eng.ox.ac.uk. Checked 27 October 2026.
  2. Healthcare AI researcher appointed to Faculty position in recognition of Academy Fellowship eng.ox.ac.uk. Checked 27 October 2026.
  3. Awardees raeng.org.uk. Checked 27 October 2026.
  4. Severity Detection Tool for Patients with Infectious Disease arxiv.org. Checked 27 October 2026.
  5. Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis - PMC pmc.ncbi.nlm.nih.gov. Checked 27 October 2026.
  6. NIHR funds 5-year programme to evaluate AI tool in clinical trial eng.ox.ac.uk. Checked 27 October 2026.
  7. Causal graph neural networks for healthcare | Nature Biomedical Engineering nature.com. Checked 27 October 2026.
  8. Shomique Hayat completes UNIQplus research project with AI4DH eng.ox.ac.uk. Checked 27 October 2026.