Grzegorz is currently a postdoctoral researcher in the Climate Processes group at the University of Oxford. He works on machine learning based constraints on clouds and climate as part of RECAP and FORCeS projects that aim to improve our understanding of aerosol-cloud interactions.
He was previously a data scientist/postdoctoral researcher in the Artificial Intelligence Lab at the British Antarctic Survey in Cambridge, UK. He mainly worked on identifying changes in the Indian summer monsoon precipitation pattern over the Himalayan mountain range using causal reasoning, which is essential in analysing the impacts of precipitation on water security in the region.
Moreover, he graduated with his PhD in Computer Science from the University of Liverpool, UK, and he carried out his PhD research work at the Lawrence Berkeley National Laboratory, US. His graduate research was focused on developing machine learning and applied topology methods for detecting weather phenomena in global climate model simulations and reanalysis datasets, especially atmospheric rivers and blocking events that often lead to extreme weather events in the mid-latitudes.
More info can be found on my personal website.