Summary
Vassili Kitsios is a Senior Research Scientist with 11 years of experience applying computational physics, massively parallel simulation and machine learning to climate, turbulence and applied-math problems. Based in Australia and holding a PhD in Fluid Dynamics, he has co-developed large-scale climate analysis and forecast systems (including CAFE) and led one of the world’s largest turbulent boundary layer simulations on >32,000 CPUs. At CSIRO he now applies causal ML to link climate variability with food-security, economic productivity and conflict risk, bridging physical modelling with socio-economic impact. His background spans academia, industry and finance—optimising aerodynamic designs, building stochastic calibration models for atmosphere/ocean flows, and developing algorithmic trading and hospital-patient risk tools—reflecting a rare mix of high-performance computing, domain science and practical decision-focused analytics.
10 years of coding experience
13 years of employment as a software developer
Bachelor, Mechanical Engineering and Commerce, First Class Honours, Bachelor, Mechanical Engineering and Commerce, First Class Honours at The University of Western Australia
The University of Melbourne
French, Greek