Jörg received his Master of Arts in Experimental Psychology at the University of Leiden in 1997 and his MSc in Artificial Intelligence at the University of Amsterdam in 2017. His Master thesis entitled ”Combining adaptive-computation-time and learning-to-learn approaches for optimizing loss functions of base-learners”. In 2018, Jörg started his PhD at the Image Sciences Institute, UMC Utrecht as part of Prof. dr. Ivana Išgum’s Quantitative Medical Image Analysis group. In 2019, he continued in the Cardiovascular Lab at the Amsterdam University Medical Centers as a PhD candidate under the supervision of Prof. dr. Ivana Išgum and Dr. Bob D. de Vos. His research, which is part of the program Deep learning in medical image analysis (DLMedIA) and a collaboration with Pie Medical Imaging, focuses on the development of learning strategies that allow learning systems (aka Deep Neural Networks) to continuously learn on different tasks w.r.t. cardiac MRI image analysis.