I am a climate scientist with a strong interest in developing and applying machine learning techniques to advance climate models and analysis, understanding links and interactions with other parts of the Earth system to address the scientific challenges of global change. Currently, I am Research Scientist of the Earth System Model Evaluation and Analysis Department, Institute of Atmospheric Physics, at the German Aerospace Center (DLR). Within the “Understanding and Modelling the Earth System with Machine Learning (USMILE)” project, I am focused on developing new methods and approaches via combining causal discovery and deep learning to eliminate long-standing systematic errors in climate models and to provide more robust climate projections. Personal website: https://www.pa.op.dlr.de/homepages/FernandoIglesiasSuarez/