Dr Iadine Chades

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Team Leader, Principal Research Scientist

CSIRO

Dr Iadine Chadès provides guidance to managers on how to make decisions under uncertainty in the most efficient way. She is particularly interested in discovering the mechanistic insights underpinning optimal decision-making. Iadine is a Chief Investigator with NHMRC Centre for Research Excellence SPECTRUM. With CSIRO, she is an activity leader with the Machine Learning and AI Future Science Platform. Her research interests lies in making AI and ML solutions trusted and interpretable. More recently, Iadine is investigating how to best integrate social sciences and machine learning.

Related Projects

• The use of mobility data to model the transmission of COVID-19 in Indonesia
• Supporting public health preparedness and response for COVID-19 in Papua New Guinea

Related publications

• Eze, P.U., Geard, N., Mueller, I. and Chades, I., 2023. Anomaly detection in endemic disease surveillance data using machine learning techniques. Healthcare, 11(13), p. 1896.
• Eze, P.U., Geard, N., Baker, C.M., Campbell, P.T. and Chades, I., 2023. Value of information analysis for pandemic response: intensive care unit preparedness at the onset of COVID-19. BMC Health Services Research, 23(1), p 485.
• Baker, C.M., Campbell, P.T., Chades, I., Dean, A.J., Hester, S.M., Holden, M.H., McCaw, J.M., McVernon, J., Moss, R., Shearer, F.M. and Possingham, H.P., 2022. From climate change to pandemics: decision science can help scientists have impact. Frontiers in Ecology and Evolution, 10.
• Baker, C.M., Chades, I., McVernon, J., Robinson, A.P. and Bondell, H., 2021. Optimal allocation of PCR tests to minimise disease transmission through contact tracing and quarantine. Epidemics, 37, p.100503.