• 2144 Citations
  • 13 h-Index
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Personal profile

Public Profile

Max is currently employed as a Senior Data Scientist by the ROSA Project, focusing on the analysis of large complex empirical datasets possessed by ROSA and the partners. The key objective behind the analysis is to extract functional information enabling targeted as well as system-wide interventions in order to improve quality of life for people close to enter or entered the age care system. 

Max obtained his PhD in computational statistics from the University of Melbourne in 2008, with his doctoral thesis dedicated to the design and implementation of novel exact inference procedures as applied to clinical trials.

Capitalising on his knowledge and experience, Max moved to the Bioinformatics Division of the Walter and Eliza Hall Institute of Medical Research (WEHI) where he served as a lead analyst in several international genome-wide association studies (GWAS), also improving the related methods of analysis.

One of the GWAS has led to the discovery of association between the IL28B gene and the rate of response to hepatitis C virus (HCV) treatment, the knowledge which since has been implemented in routine clinical practices.

In 2010, Max relocated to the Australian Institute of Health Innovation (University of New South Wales), where he continued working on genomic analyses related to pharmacogenomics of multiple sclerosis. In parallel, Max led the quantitative analysis of the study investigating specifics and impact of nation-wide healthcare accreditation programs, the study jointly covering the population of over 2.7 billion people located in 38 countries.

In 2014, Max moved to School of Population Health (University of South Australia) where, working in the South Australian Health & Medical Research Institute (SAHMRI), he participated in a number of international studies applying the instrumental variables (Mendelian randomisation) approach to establish causal associations between certain risk factors and human traits.

In 2016, Max joined Profs. David Lynn and Lisa Butler at SAHMRI, applying bioinformatics and statistical learning methods in order to reveal functional specifics of empirical information contained in datasets generated by high-throughput technologies.

Max authored two registered inventions related to genetics predisposition to opiate addiction and visualisation of interactions among human disorders as observed in an entire population (http://disease-map.net).

Max's expertise is in using a combination of statistical learning, categorical data analysis and prediction modelling for extracting informative and functional patterns contained in empirical datasets.

Being a loyal, dedicated and enthusiastic team player, Max has a demonstrated ability of generating effective ‘outside-the-box’ solutions to a wide range of applied problems. In his view, technical expertise, natural intuition and the sense of practical relevance are the main ingredients for professional success.

Education/Academic qualification

PhD, University of Melbourne

Mar 2005May 2008

Masters, Queensland University Technology

Jun 2001Feb 2003


  • HA Statistics
  • bioinformatics
  • medical research

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Research Output 2007 2019

Transcriptional and metabolic rewiring of colorectal cancer cells expressing the oncogenic KRASG13D mutation

Charitou, T., Srihari, S., Lynn, M., Jarboui, M. A., Fasterius, E., Moldovan, M., Shirasawa, S., Tsunoda, T., Ueffing, M., Xie, J., Xin, J., Wang, X., Proud, C., Boldt, K., Al-Khalili Szigyarto, C., Kolch, W. & Lynn, D., 2 Jul 2019, In : British Journal of Cancer. 121, 1, p. 37-50 14 p.

Research output: Contribution to journalArticle

4 Citations (Scopus)

Dysregulated fibronectin trafficking by Hsp90 inhibition restricts prostate cancer cell invasion

Armstrong, H. K., Gillis, J. L., Johnson, I. R. D., Nassar, Z. D., Moldovan, M., Levrier, C., Sadowski, M. C., Chin, M. Y., Tomlinson Guns, E. S., Tarulli, G., Lynn, D. J., Brooks, D. A., Selth, L. A., Centenera, M. M. & Butler, L. M., 1 Dec 2018, In : Scientific Reports. 8, 1, 2090.

Research output: Contribution to journalArticle

2 Citations (Scopus)

Frailty index from routine laboratory measurements correlates with leukocyte telomere length

Dent, E., Hoogendijk, E. O. & Moldovan, M., 1 Apr 2018, In : Geriatrics and Gerontology International. 18, 4, p. 654-655 2 p.

Research output: Contribution to journalLetter

2 Citations (Scopus)

Identification of novel response and predictive biomarkers to Hsp90 inhibitors through proteomic profiling of patient-derived prostate tumor explants

Nguyen, E. V., Centenera, M. M., Moldovan, M., Das, R., Irani, S., Vincent, A. D., Chan, H., Horvath, L. G., Lynn, D., Daly, R. J. & Butler, L., 1 Aug 2018, In : Molecular and Cellular Proteomics. 17, 8, p. 1470-1486 17 p.

Research output: Contribution to journalArticle

1 Citation (Scopus)

Benzodiazepines use and breast cancer risk: A population-based study and gene expression profiling evidence

Iqbal, U., Chang, T. H., Nguyen, P. A., Syed-Abdul, S., Yang, H. C., Huang, C. W., Atique, S., Yang, W. C., Moldovan, M., Jian, W. S., Hsu, M. H., Yen, Y. & Li, Y. C. J., 1 Oct 2017, In : Journal of Biomedical Informatics. 74, p. 85-91 7 p.

Research output: Contribution to journalArticle