Rate My Professor Milan Klöwer

Milan Klöwer is a NERC Independent Research Fellow at the University of Oxford in the Department of Physics, specifically within the Atmospheric, Oceanic and Planetary Physics sub-department. He holds a DPhil from the University of Oxford in climate computing, completed under the supervision of Tim Palmer. His doctoral thesis, titled Low-precision climate computing: Preserving information despite fewer bits, was submitted in 2021. Prior to his doctorate, Klöwer earned an MSc in climate physics from Kiel University and pursued studies in climate physics at institutions in Germany, France, and Norway, including research visits to UNIS Svalbard.

Following his PhD, Klöwer completed a postdoctoral position at the Massachusetts Institute of Technology, where he began developing SpeedyWeather.jl, a modern atmospheric model written in the Julia programming language. His research focuses on integrating machine learning into climate modelling, low-precision computing, data compression using information theory, atmospheric and ocean modelling, predictability, and software engineering for scientific applications. He previously held positions as a Schmidt AI in Science Fellow and Associate Research Fellow at Reuben College, Oxford. Klöwer has contributed to publications including work on neural general circulation models and an analysis of decarbonizing conference travel published in Nature. He supervises students through programmes such as the Intelligent Earth CDT and is building a new Climate Modelling research group at Oxford. In recognition of his contributions, he received an MPLS Award for Outstanding Research Supervision.