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Advanced Computing for Health Sciences Section

Delivers scalable computational solutions to biomedical and healthcare delivery challenges.

The Advanced Computing for Health Sciences section harnesses ORNL computing and data expertise to accelerate breakthroughs in the health sciences. The Biostatistics and Multiscale Systems group develops statistical, machine-learning, and deep-learning methodologies for large-scale genomics, text, and imaging applications, while the Multimodal Data Analytics group leverages expertise in large-scale biomedical informatics and statistical genetics to build and use tools for healthcare needs, such as scalable AI and machine-learning solutions for multidimensional, multimodal data in HPC environments.


Section Head, Advanced Computing Methods for Health Sciences
Anuj J. Kapadia, PhD.