Wiro Niessen is full professor in Biomedical Image Analysis at Erasmus MC, Rotterdam and at Delft University of Technology. His interests cover many aspects of medical imaging, medical image analysis, machine learning and imaging genetics. His research team develops image analysis methods to optimally make use of information contained in imaging data for improving diagnostics, prognostics and therapy. Specifically, much of the work has focused on the development, validation and implementation of image analysis methods to extract quantitative imaging biomarkers from MRI and CT data to support more objective diagnosis in clinical practice and to support clinical and biomedical research. In recent years he has become increasingly interested in linking imaging and genetics data, and in radio(geno)mics to better understand disease development, and to improve prognostics. His team develops and test their methods on large multicenter databases, using state of the art computer vision and machine learning techniques. Clinical focus areas oare improved diagnosis and prognosis of neurodegenerative and cardiovascular disease, and treatment guidance in oncology.