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. Originally trained in Artificial Intelligence, Iadine turned towards ecology to develop optimisation methods to manage and survey invasive and endangered species across time and space. In particular, Iadine has pioneered the use of Partially Observable Markov Decision Processes (POMDP) to solve optimal management problems in ecology and artificial intelligence (AAAI Best paper award and PNAS papers).
Iadine Chadès is team leader of the Conservation Decisions Team (CSIRO Land and Water) and the recipient of a CSIRO Julius Career Award on the theory of adaptive management (2013-2016).
Since 2016, Iadine is a contributing collaborator of the US National Science Foundation CompSustNet Expeditions (2016-2020) and a partner investigator with the Centre of Excellence for Environmental Decisions (CEED, 2016-2018).