Professor Yinghui Wei

Yinghui is Professor of Data Science in Applied Health at the University of Exeter Medical School, Faculty of Health and Life Sciences. She was previously Professor of Statistics and Data Science and Associate Head of School (Resources) in the School of Engineering, Computing and Mathematics, University of Plymouth. At Plymouth, she was also Chair of the School EDI Committee and Athena Swan Self-Assessment Team, Programme Manager for the MSc in Health Data Science and Statistics, and Lead of the Health Data Science Research Group. Prior to moving to the South West, Yinghui worked as Investigator Scientist (Statistician) at the MRC Clinical Trials Unit at UCL, Career Development Fellow in Biostatistics at the MRC Biostatistics Unit, University of Cambridge, and Research Fellow in the School of Mathematical Sciences at the University of Nottingham. She completed her PhD and MSc in Statistics, both from the School of Mathematics at The University of Manchester.

Postgraduate Research Supervision - Completed

• Dr Lingling Zhang (2025) Bayesian multilevel models for survival data from multiple centres (Primary Supervisor)
• Dr Stephanie Riley (2024) Clinical prediction models for survival outcomes following kidney transplant (Primary Supervisor)
• Dr Nicole Thomas (2022) Investigation of the effectiveness of an intervention to prevent oral disease in a highly vulnerable child population (Co-supervisor)
• Dr Jagriti Sethi (2022) Graphene based biosensors for detection of blood biomarkers of Alzheimer's disease (Co-supervisor)
• Dr Lexy Sorrell (2021) Statistical inference about bivariate semi-competing risk data using copulas (Primary Supervisor)
• Dr Zainab Al-Kaabawi (2018) Bayesian Hierarchical Models for Linear Networks (Primary Supervisor)

Postgraduate Research Supervision - Current

• M. Gulley: Impact of social, economic, and demographic factors in disparity in clinical coding of long COVID in national electronic health records
• J. Gray: Real-time fall prediction and detection system using quantum computing and computer vision
• K. Jagoda: Statistical methods in electronic health records research
• L. Ellaway: Enhancing Understanding of long COVID using novel mathematical clustering techniques
• M. Dogan: Biosensors for detection of Alzheimer disease biomarkers
• S. Nazir: Graphene biosensors for clinical applications in the detection of body fluid AD biomarkers
• J. Mnyambo: Prediction of Diagnostic Accuracy using Artificial Intelligence and Big Data Analytics from HeroRats for Tuberculosis Detection 

NIHR Pre-Doctoral Fellowship Supervision

• Ava Keeling, Research Assistant in Medical Statistics and Health Data Science, November 2024 – September 2025.
• Michael Gulley, Research Assistant in Medical Statistics and Health Data Science, October 2023 – December 2024.
• Josh Gray, Research Assistant in Medical Statistics and Health Data Science, October 2022 – September 2024.

China Scholarship Funded Visiting PhD Students Supervision

• Yuliang Bai, Visiting Researcher in Statistical Science, Multivariate meta-analysis, March 2024 – February 2025.
• Qingmin Zhang, Visiting Researcher in Statistical Science, Copula survival models January 2023 – April 2024.
• Bowen Duan, Visiting Researcher in Statistical Science, Survival analysis, January 2023 – March 2024.
• Juan Li, Visiting Researcher in Statistical Science, Bayesian classification methods with applications to dementia, Dec 2021 – Dec 2022.
• Ying Zhou, Visiting Researcher in Statistical Science, A semiparametric spatial autoregressive model with missing data, Dec 2021 – Dec 2022.