Senior Research Scientist, Climate Forecasting, CSIRO
Dr Kitsios completed a PhD with the University of Melbourne and the Université de Poitiers (France) on fluid dynamical stability and model reduction of aerospace flows (2006-2010). He then undertook post-doctoral research with the CSIRO Oceans and Atmosphere division (2010-2013) and the Monash University (2013-2016), on the massively parallel numerical simulation (32,000 cores) and stochastic parameterisation of atmospheric, oceanic and boundary layer turbulence. He then held an industrial research position at a hedge fund (2016-2017) developing trading algorithms on the basis of macroeconomic themes and market conditions. Since re-joining CSIRO in 2017, he has been undertaking research on the data assimilation and stochastic modelling methods for improved climate state / parameter estimation and forecasting. His most recent research involves the application of machine learning for climate emulation, and quantifying the influence of climate on financial markets and health indicators.

AI weather models can now beat the best traditional forecasts
Dec 06, 2024 01:50 am UTC| Insights & Views Nature
A new machine-learning weather prediction model called GenCast can outperform the best traditional forecasting systems in at least some situations, according to a paper by Google DeepMind researchers published today in...