Milan Klöwer

I am a Schmidt AI in Science Fellow working on climate modelling and machine learning. After receiving my PhD from Oxford in climate computing with Tim Palmer, I did a PostDoc at the Massachusetts Institute of Technology where I developed SpeedyWeather.jl, a modern intermediate-complexity atmospheric model written in Julia.

My research interests and areas of expertise include atmospheric modelling, model development, feels-like temperatures, climate impacts of aviation, predictability of weather and climate, chaos and dynamical systems, weather forecasting, high-performance computing, low-precision arithmetic, information theory and data compression, software engineering.

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