Dr. Terence J. O’Kane is currently the group leader of Modelling the Earth System and senior principal research scientist in the Environment Business Unit of the CSIRO, Hobart. He previously led the Geophysical Fluids, Climate Forecasting, and Ocean Modelling teams. Dr. Terence J. O’Kane has previously led the data assimilation and modeling activity of the CSIRO decadal prediction project and the National Environmental Science Program Earth System Climate Change Hub project “Towards an ACCESS Decadal Prediction System”. Dr. Terence J. O’Kane was co-chair of the committee for the World Climate Research Program Grand Challenge for Near-Term Climate Forecasting. Between 2013 and 2016, Dr. Terence J. O’Kane was an ARC Future Fellow at the Full Professor level. He has or holds adjunct positions in mathematics (Professor, Senior Research Fellow) and marine and antarctic sciences (Senior Research Fellow) at the University of Tasmania and with the ARC Centre for Climate Extremes (CLEX). Before joining the CSIRO, Dr. Terence J. O’Kane was an ensemble prediction scientist at the Bureau of Meteorology, where he implemented the Australian Global and Regional Ensemble Prediction System adapted from the UK Met Office MOGREPS system.

Dr. Jorgen S Frederiksen is a CSIRO Honorary Fellow and former Chief Research Scientist and CSIRO Fellow at Oceans and Atmosphere. He is the Deputy Director of the Cooperative Research Centre for Southern Hemisphere Meteorology and an Adjunct Professor at Monash University. He has a Ph.D. in Theoretical Physics and a D.Sc. in Atmospheric Physics. He is a Fellow of the Australian Institute of Physics, a Fellow of the Australian Mathematical Society, a Fellow of the Australian Meteorological and Oceanographic Society, and a Fellow of the Australian Academy of Science. His research spans classical and modern physics, with a focus on atmospheric and oceanic dynamics and turbulence, climate dynamics, climate change, weather and seasonal climate prediction, theories of atmospheric disturbances, and classical and quantum statistical field theories. His research has been disseminated through more than 200 peer-reviewed articles and 150 conference proceedings.

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Prof. Dr. Illia Horenko received a Ph.D. in mathematics from Freie Universität Berlin, Germany, in 2004 and currently serves as a Full Professor (W3) and Chair for AI Mathematics in the Faculty of Mathematics at the Technical University of Kaiserslautern-Landau. Before that position, he was a Full Professor at the Faculty of Informatics at the University of Lugano. Prof. Dr. Illia Horenko's research interests mainly include the Mathematics of AI, Machine Learning, Time-Series Analysis, Computational Methods, Geoscience, and Biophysics.