Dr Irene Suilan Zeng

PhD, MSC(Hons)

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Research Fellow
Honorary, Academic


Irene Zeng completed her BSc.(applied mathematics) degree in Sun Yat-sen University, Southern China in 1994. She obtained her Graduate Diploma (Commerce) in 1999 and completed MSc (statistics,1st Hons) degree from University of Auckland in 2004. She has worked as a mathematical statistician in Statistics New Zealand Wellington, biostatistician in Auckland city hospital, Center for Clinical Research & effective practice and then as a senior research biostatistician in Research and Evaluation office, Health Intelligence and Informatics, Ko AWATEA, CMDHB. She is a post-doctoral research fellow now working in the Statistics department. 

Irene's master research investigated Bayesian modelling to predict heart failure by using biomarkers. Her doctoral research is an extension from the master study and an inspiration from her work in the hospital. Irene's research interests are statistical methods in proteomic and genomic, biomedicine, clinical and community research.

Research | Current

My PhD research investigated and created statistical methods in clinical proteomics. The extension from the PhD research is statistical methods and softwares in integrated "omics", which includes data analysis, pathway assisted data analysis, Bayesian method in the data analysis.


First Honours degree in the Master of science major in statistics


I was awarded the PhD degree in Dec, 2014; and continuously work on the integrated Omics research in statistics department supervised by Professor Thomas Lumley as a honorary research fellow and now a post-doctoral fellow. I hope to enhance our collaborations in precision and personalized medicine in clinical research and practice, using the integrated OMics techniques. At the meantime, we aim to produce high quality research outputs (software packages and publications).


Areas of expertise

Biostatistics, Medical statisics, Proteomic and Omics data analysis, Bayesian Inference

Committees/Professional groups/Services

Founder of the open-access platform i-StatDome® , a cybernetic analytical lab, which provides automatic medical data analysis online : www.onlinedatalab.org.nz. The built-in functions of the platform are still continously growing.  

Selected publications and creative works (Research Outputs)

  • Cullum, S., Mullin, K., Zeng, I., Yates, S., Payman, V., Fisher, M., & Cheung, G. (2018). Do community-dwelling Māori and Pacific peoples present with dementia at a younger age and at a later stage compared with NZ Europeans?. International journal of geriatric psychiatry, 33 (8), 1098-1104. 10.1002/gps.4898
    Other University of Auckland co-authors: Sarah Cullum, Susan Yates, Gary Cheung
  • Mikaere, H., Zeng, I., Lauti, M., Kularatna, M., & MacCormick, A. D. (2018). Derivation and validation of the APPEND score: An acute appendicitis clinical prediction rule. ANZ Journal of Surgery, 88 (4), E303-E307. 10.1111/ans.14022
    Other University of Auckland co-authors: Andrew MacCormick
  • Zeng, I. S. L., & Lumley, T. (2018). Review of Statistical Learning Methods in Integrated Omics Studies (An Integrated Information Science). , 1210.1177/1177932218759292
    Other University of Auckland co-authors: Thomas Lumley
  • Kingma, K., Hofmeyr, R., Zeng, I. S., Coomarasamy, C., & Brainard, A. (2017). Comparison of four methods of endotracheal tube passage in simulated airways: There is room for improved techniques. EMA - Emergency Medicine Australasia, 29 (6), 650-657. 10.1111/1742-6723.12874
    Other University of Auckland co-authors: Andrew Brainard
  • Falconer, N., Liow, D., Zeng, I., Parsotam, N., Seddon, M., & Nand, S. (2017). Validation of the assessment of risk tool: patient prioritisation technology for clinical pharmacist interventions. European Journal of Hospital Pharmacy, 24 (6), 320-326. 10.1136/ejhpharm-2016-001165
  • Koh, C. K., Zeng, I., Ravi, S., Zhu, M., Vince, K. G., & Young, S. W. (2017). Periprosthetic joint infection is the main cause of failure for modern knee arthroplasty: An analysis of 11,134 knees. Clinical Orthopaedics and Related Research®, 475 (9), 2194-2201. 10.1007/s11999-017-5396-4
    Other University of Auckland co-authors: Simon Young
  • Lauti, M., Lemanu, D., Zeng, I. S. L., Su'a B, Hill, A. G., & MacCormick, A. D. (2017). Definition determines weight regain outcomes after sleeve gastrectomy. Surgery for Obesity and Related Diseases, 13 (7), 1123-1129. 10.1016/j.soard.2017.02.029
    URL: http://hdl.handle.net/2292/35421
    Other University of Auckland co-authors: Andrew Hill, Andrew MacCormick, Bruce Su'a
  • Zeng, I. S. L., Lumley, T., Ruggiero, K., & Middleditch, M. (2017). A Bayesian approach to multivariate and multilevel modelling with non-random missingness for hierarchical clinical proteomics data. 10.1101/153049 https://arxiv.org/abs/1601.00477.
    Other University of Auckland co-authors: Thomas Lumley, Kathy Ruggiero, Martin Middleditch


Contact details

Alternative contact

Mobile: 022-0478272

Office hours

Monday-Friday (Unversity)

Primary office location

SCIENCE CENTRE 303 - Bldg 303
New Zealand

Web links