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20252026

Research activity per year

Personal profile

Personal profile

Dr. Yueyun Zhu is a statistician whose research focuses on the development and application of statistical methods for complex and dynamic data, particularly in biomedical and clinical research. She received her PhD degree in Statistics from the University of Manchester, UK in 2023. Before joining XJTLU, she worked as a Postdoctoral Researcher in Biostatistics at the University of Galway, Ireland.

Her research primarily focuses on Functional Data Analysis, Time Series Analysis and Longitudinal Data Analysis. She is particularly interested in developing efficient statistical methods for analysing data observed in the form of curves and trajectories. In addition, she has extensive experience in applying statistical methods to biomedical research, with collaborative projects in cardiovascular disease, intensive care, and gestational diabetes. 

Research interests

  • Functional data analysis (Functional principal component analysis, Functional regression)
  • Time series analysis (Periodic time series modelling and forecasting)
  • Biostatistics (Longitudinal data analysis, Biomedical applications)

Experience

Assistant Professor, XJTLU, 2026-present

Postdoctoral Researcher, University of Galway, Ireland, 2023-2026

Teaching

APH 413: Advanced Methods in Biostatistics

APH 431: Essential Math for Pharmacy

Education/Academic qualification

PhD, Statistics, The University of Manchester

Sept 2018 → Jan 2023

Award Date: 18 Jan 2023

Master, Actuarial Science, The University of Manchester

Sept 2016 → Oct 2017

Award Date: 31 Oct 2017

Bachelor, Statistics, Tianjin University of Finance and Economics

Sept 2012 → Jun 2016

Award Date: 18 Jun 2016

Research areas

  • Functional data analysis
  • Time series analysis
  • Longitudinal data analysis

Person Types

  • Staff

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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Collaborations and top research areas from the last five years

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