Research area in AI: Large-scale data and knowledge fusion in the life sciences. I developed a Bayesian systems-based approach to analyze causal and dependency relations at multiple levels. Using kernel methods and semantic technologies, we developed repositioning methods for drug discovery. Using active learning and ensemble methods, we developed novel genetic measurement methods for precision medicine. Currently, we are extending our methodologies towards active, collaborative learning to support the fusion of horizontally and vertically distributed data and knowledge at multiple partners.