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Personal profile

Research interests

  • Computational Statistics: Monte Carlo and quasi-Monte Carlo methods, Markov chain Monte Carlo.
  • Data Analysis: statistical learning and machine learning algorithms.
  • Data and Information Visualization. 
Short Intro: Dr. Zhu joined the School of Mathematical and Physical Sciences as a Lecturer in Statistics in 2020. Her primary research is in computational statistics; in particular, she focuses on developing novel methodologies and efficient implementations to improve the understanding and advancement of computational statistics and data science in both theoretical and applied aspects. 

Community engagement


Undergraduate course:

  • STAT1371: Statistical Data Analysis, 2020-2023, Macquarie Uni.
  • STAT2173/6183: Introduction to Probability,2022, Macquarie Uni.
  • STAT2371: Statistics, S2, 2021, Macquarie Uni.
  • HLTH2110: Clinical Epidemiology and Biostatistics for Health Sciences, 2020, Macquarie Uni.
  • MAST30034: Applied Data Science, The University of Melbourne, 2018.

Postgraduate course: 

Education/Academic qualification

Applied Mathematics, PhD, The University of New South Wales

Award Date: 17 Aug 2016

Applied Mathematics, Master of Research, China Jiliang University

Award Date: 25 Jun 2012

Applied Mathematics, Bachelor in Science, Shandong Normal University

Award Date: 21 Jun 2009


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