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Dr Aminath Shausan is a Postdoctoral Researcher at CSIRO, Australia’s national science agency. She is a mathematical modeller, statistician, probability modeller, data scientist, and educator.

Aminath currently works within the Digital Solutions for Antimicrobial Resistance (AMR) team at the Australian e-Health Research Centre. She is applying artificial intelligence and machine learning to investigate the risk and burden of AMR across regions of Northern Australia. Aminath’s work involves both spatial modelling and patient pathways through healthcare and environmental systems. Her research involves data on AMR in humans, collected through HOTspots, the CSIRO-developed AMR surveillance platform, as well as data on animals and the environment. She is currently managing the HOTspots data and its website.

Aminath’s experience in Bayesian modelling, data science and digital health inspired her to work in this space. She received her PhD, which focused on epidemic modelling, in 2015 from the University of Queensland (UQ). She went on to conduct postdoctoral research at UQ’s School of Mathematics and Physics and School of Public Health and QUT’s School of Mathematical Sciences. Aminath has research experience across epidemic modelling, digital health, disease outbreak prediction, and natural language processing.