• 2262 Citations
  • 14 h-Index

Research output per year

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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

Using elastic nets to estimate frailty burden from routinely collected national aged care data

Moldovan, M., Khadka, J., Visvanathan, R., Wesselingh, S. & Inacio, M., 1 Mar 2020, In : Journal of the American Medical Informatics Association. 27, 3, p. 419-428 10 p.

Research output: Contribution to journalArticle

Changes in the Composition of the Gut Microbiota and the Blood Transcriptome in Preterm Infants at Less than 29 Weeks Gestation Diagnosed with Bronchopulmonary Dysplasia

Ryan, F., Drew, D. P., Douglas, C., Leong, L. E. X., Moldovan, M., Lynn, M., Fink, N., Sribnaia, A., Penttila, I., McPhee, A. J., Collins, C., Makrides, M., Gibson, R., Rogers, G. & Lynn, D., 29 Oct 2019, In : mSystems. 4, 5, e00484.

Research output: Contribution to journalArticle

1 Citation (Scopus)

Does long-term use of antidiabetic drugs changes cancer risk?

Liu, Y. C., Nguyen, P. A., Humayun, A., Chien, S. C., Yang, H. C., Asdary, R. N., Syed-Abdul, S., Hsu, M. H., Moldovan, M., Yen, Y., Li, Y. C., Jian, W. S. & Iqbal, U., 1 Oct 2019, In : Medicine (United States). 98, 40, e17461.

Research output: Contribution to journalArticle

1 Citation (Scopus)

Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

Schmidt, A. F., Holmes, M. V., Preiss, D., Swerdlow, D. I., Denaxas, S., Fatemifar, G., Faraway, R., Finan, C., Valentine, D., Fairhurst-Hunter, Z., Hartwig, F. P., Horta, B. L., Hypponen, E., Power, C., Moldovan, M., Van Iperen, E., Hovingh, K., Demuth, I., Norman, K., Steinhagen-Thiessen, E. & 145 othersDemuth, J., Bertram, L., Lill, C. M., Coassin, S., Willeit, J., Kiechl, S., Willeit, K., Mason, D., Wright, J., Morris, R., Wanamethee, G., Whincup, P., Ben-Shlomo, Y., McLachlan, S., Price, J. F., Kivimaki, M., Welch, C., Sanchez-Galvez, A., Marques-Vidal, P., Nicolaides, A., Panayiotou, A. G., Onland-Moret, N. C., Van Der Schouw, Y. T., Matullo, G., Fiorito, G., Guarrera, S., Sacerdote, C., Wareham, N. J., Langenberg, C., Scott, R. A., Luan, JA., Bobak, M., Malyutina, S., Pajak, A., Kubinova, R., Tamosiunas, A., Pikhart, H., Grarup, N., Pedersen, O., Hansen, T., Linneberg, A., Jess, T., Cooper, J., Humphries, S. E., Brilliant, M., Kitchner, T., Hakonarson, H., Carrell, D. S., McCarty, C. A., Lester, K. H., Larson, E. B., Crosslin, D. R., De Andrade, M., Roden, D. M., Denny, J. C., Carty, C., Hancock, S., Attia, J., Holliday, E., Scott, R., Schofield, P., O'Donnell, M., Yusuf, S., Chong, M., Pare, G., Van Der Harst, P., Said, M. A., Eppinga, R. N., Verweij, N., Snieder, H., Christen, T., Mook-Kanamori, D. O., Gustafsson, S., Lind, L., Ingelsson, E., Pazoki, R., Franco, O., Hofman, A., Uitterlinden, A., Dehghan, A., Teumer, A., Baumeister, S., Dörr, M., Lerch, M. M., Völker, U., Völzke, H., Ward, J., Pell, J. P., Meade, T., Christophersen, I. E., Maitland-Van Der Zee, A. H., Baranova, E. V., Young, R., Ford, I., Campbell, A., Padmanabhan, S., Bots, M. L., Grobbee, D. E., Froguel, P., Thuillier, D., Roussel, R., Bonnefond, A., Cariou, B., Smart, M., Bao, Y., Kumari, M., Mahajan, A., Hopewell, J. C., Seshadri, S., Dale, C., Costa, R. P. E., Ridker, P. M., Chasman, D. I., Reiner, A. P., Ritchie, M. D., Lange, L. A., Cornish, A. J., Dobbins, S. E., Hemminki, K., Kinnersley, B., Sanson, M., Labreche, K., Simon, M., Bondy, M., Law, P., Speedy, H., Allan, J., Li, N., Went, M., Weinhold, N., Morgan, G., Sonneveld, P., Nilsson, B., Goldschmidt, H., Sud, A., Engert, A., Hansson, M., Hemingway, H., Asselbergs, F. W., Patel, R. S., Keating, B. J., Sattar, N., Houlston, R., Casas, J. P. & Hingorani, A. D., 29 Oct 2019, In : BMC Cardiovascular Disorders. 19, 1, 240.

Research output: Contribution to journalArticle

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)


SAHMRI Research Translation Award

Maria Stanford (Recipient), Sarah Bray (Recipient), Catherine Lang (Recipient), Jyoti Khadka (Recipient), Robert Jorissen (Recipient), Max Moldovan (Recipient), Azmeraw Amare (Recipient), Janet Sluggett (Recipient), Monica Cations (Recipient), Gillian Caughey (Recipient) & Tiffany Gill (Recipient), 13 Dec 2019