The Multimodal Data Analytics Group leverages expertise in large-scale biomedical informatics and statistical genetics to build and use tools for healthcare needs and creates scalable AI and machine-learning solutions for multidimensional, multimodal data in high-performance computing environments applied to biomedicine and bioengineering. Examples include privacy and biomedical informatics for supervised and unsupervised learning with healthcare data, information extraction, medical imaging, and new outcomes.