This project involves research committed to address data-driven modelling challenges to advance precision medicine. This research is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for DataDriven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/ The focus of the post-doctoral project is development of novel methods for pharmacometric covariate modeling such as e.g. methods for simultaneously learning the structure and parameters of covariate models, to improve pharmacometrics predictors suited for individualized precision medical therapies. The project will develop and test the novel methods using registry data from the National Diabetes Registry and the Swedish MS Registry as well as clinical data sets. The work is twinned with UU being the DDLS partner and Lund University being the WASP partner and it involves close collaboration.