Simon Pfreundschuh, Space, Earth, and Environment

​​Improving retrievals of clouds and precipitation using machine learning
​​Simon Pfreundschuh will defend his thesis: "​​Improving retrievals of clouds and precipitation using machine learning".  

Simon is a PhD Student at the division of Geoscience and remote sensing at the Department of Space, Earth and Environment.

Supervisor: Patrick Eriksson, Geoscience and remote sensing 

Examiner:  Donal Murtagh, Geoscience and remote sensing 

Faculty examiner:  Dr. Peter Dueben, Coordinator of Machine Learning and AI activities at the European Centre for Medium Range Weather Forecasts 

Read the thesis and find zoom link here. 

Contact Simon to get at password for the online defense.