Associate Professor Nhung Nghiem

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About

Nhung is Associate Professor of Health Economics in the Department of Genome Sciences, John Curtin School of Medical Research. Her research focus is on economic evaluation and modelling for clinical trials. She joined the Clinical Hub for Interventional Research (CHOIR), Australian National University in 2023. She previously worked at the University of Otago|Ōtākou Whakaihu Waka, Wellington, New Zealand and currently holds the title of Honorary Associate Professor.

She is a health economist with interdisciplinary expertise in modelling and data science. Nhung is internationally recognised for her work on modelling public health interventions and has a growing research profile in machine learning in healthcare. She led a prestigious Marsden Fast Start project funded by the Royal Society of New Zealand and has contributed to securing over $21 million in competitive research funding, including a $5 million NHMRC grant as a Chief Investigator. She has served on Scientific Panels for Grant Assessment of the New Zealand Health Research Council and the NHMRC.

Nhung has published in high-impact factor leading international journals, including the Lancet Public Health, Tobacco Control, and PloS Medicine. She has been ranked among the top 2% of researchers in the world for the single year since 2022, based on citation scores (the Stanford list, Ioannidis, John P.A. 2023, https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/4). Her modelling work contributed to the development of the world's first tobacco endgame law (passed by the New Zealand Parliament in 2022). 

Nhung has served on the Arrow Award Committee, which awards an annual prize for the best published health economics paper in honour of Nobel Laureate Kenneth Arrow. She is currently an advisor for the World Health Organization on health economics and modelling (WHO Technical Advisory Group on Economics for Environment, Climate Change and Health; World Bank and WHO Global Technical Consultation to Estimate the Economic Burden of Foodborne Diseases).

Research interests

  • Economic Evaluation in Clinical Trials
  • Health Economic Modelling
  • Machine Learning in Healthcare
  • Health Equity
  • Causal Inference Methods