Dr. Pitkänen’s research group Machine Learning in Biomedicine develops novel machine learning and computational methods for biomedicine. The group focuses on deep learning with emphasis on integrative and scalable multimodal techniques for large-scale biomedical data. Specific application areas are cancer genetics and genomics, mutational processes in cancer and hematological malignancies. He is leading data science efforts in the iCAN Digital Precision Cancer Medicine Flagship, which aims at integrating molecular profiling, clinical and health registry data of 10,000 cancer cases.