• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20112019

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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.
  • Mathematical modeling.

 

Teaching

Undergraduate course: 

  • STAT2371: Statistics, S2, 2021, Macquarie Uni.
  • STAT1371: Statistical Data Analysis, S1, 2021, 2020, Macquarie Uni.
  • HLTH2110: Clinical Epidemiology and Biostatistics for Health Sciences, S2, 2020, Macquarie Uni.
  • MAST 30034: Applied Data Science, The University of Melbourne, S2, 2018.

Postgraduate course: 

  • STAT8123/7123: Statistical Graphics, S2, 2021, Macquarie Uni.
  • STAT8150/7150: Bayesian Data Analysis, S1, 2021, Macquarie Uni.
  • Mathematical Background for Biostatistics (MBB), S2, 2020 at BCA, The University of Sydney.

Education/Academic qualification

Applied Mathematics, PhD, The University of New South Wales

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