معرفی
Max Moldovan, PhD, is a Researcher at the School of Agriculture, Food and Wine within the Faculty of Sciences, Engineering and Technology at the University of Adelaide. He joined the Biometry Hub in July 2021 after a seven-year tenure at the South Australian Health and Medical Research Institute (SAHMRI), where he served as Lead Bioinformatician and Senior Data Scientist. He is eligible to supervise both Masters and PhD students.
Max obtained his PhD in Statistics from the University of Melbourne in 2008, followed by postdoctoral training at the Walter and Eliza Hall Institute of Medical Research (WEHI). His career has focused on high-impact research in data science and applied statistics within life sciences.
- PhD in Statistics, University of Melbourne (2008)
- Postdoctoral Training, Walter and Eliza Hall Institute of Medical Research (WEHI)
Max Moldovan's research centers on methodological and applied statistics in life sciences, with a focus on exact, unbiased, and efficient inference—particularly causal inference—from observational and routinely collected datasets. He is actively engaged in developing and applying statistical learning methods and generalized additive modelling approaches. His work has had tangible national and international impact, particularly in health and agricultural data analytics.
Although no specific publications are listed in the provided text, Max's research trajectory indicates a strong focus on robust statistical methodologies for real-world data, especially in biometric and biomedical contexts. His work likely spans epidemiology, public health, and agricultural science applications.
- Research Translation Award, SAHMRI (2019)
- High-impact Publication Award, SAHMRI (2020)
Max has supervised or co-supervised higher degree research students at the University of Adelaide and was actively involved in major research projects during his time at SAHMRI. While specific grants are not listed, his award-winning work suggests successful grant funding and translational research outcomes. He contributes to the Biometry Hub, a specialized unit supporting statistical design and analysis across research domains at the university.
Max is a member of the Biometry Hub at the University of Adelaide, a collaborative team providing advanced statistical support for research projects across agriculture, health, and environmental sciences. His role involves methodological development, data analysis leadership, and training researchers in robust statistical practices.
