The Cancer Data Science Initiatives team builds interdisciplinary collaborations to develop innovative approaches in data management and advanced scientific computing that will improve treatment for cancer patients.
We work collaboratively with multidisciplinary teams and organizations across the research community to accelerate cancer and biomedical research.
With expertise in artificial intelligence, data science, data management and scientific computing, we provide leadership and bring diverse groups of experts together to develop cutting-edge approaches for complex research challenges. This includes the development of computational infrastructure to enable scientific computing at scale, and deep-learning technologies for cancer research.
We develop innovative data- management resources that streamline the transformation data to FAIR data resources to foster development of new data science innovations.
We also built a data and model clearinghouse that enables the research community to access newly developed software, computational and AI models, and key datasets.
We host interdisciplinary workshops to foster broad adoption of cutting-edge AI and data science analytic tools and capabilities developed by the National Cancer Institute, Frederick National Laboratory and the NCI-DOE Collaboration.