Axel is an AI Research Engineer in Peltarion’s research team. A large part of Axel’s research has involved the use of deep learning for weather forecasting during which he has trained deep learning models achieving forecasts competitive with those produced by physical-based simulation models used in practice today. Axel has also worked with surgical image segmentation, neural architecture search and active learning for transformer-based models. Prior to his work at Peltarion, Axel studied the Machine Learning Programme at the Royal Institute of Technology in Stockholm and worked at GetCompliant AB as a machine learning and front-end developer.