Data Science & Computing

The Data Science & Computing (DSC) Core at UNT Health aims to deliver computational support for research applications, including big-data analytics, bioinformatics, statistical support, and AI/ML-driven research development. 

The DSC Core is a high-throughput computing resource to support a wide array of biomedical research across multiple disciplines. Some of the complex analyses, including but not limited to are genomics, transcriptomics, proteomics, and metabolomic studies, as well as structural biology, drug discovery, and systems biology. Applications range from whole genome sequencing and single-cell transcriptomics to molecular modeling, molecular docking, and artificial intelligence-driven research. Additionally, the Core supports clinical and translational research by facilitating clinical trial data processing, Bayesian modeling, adaptive trial designs, survival analysis, and other advanced computational methodologies to foster innovation across the entire UNT Health research enterprise.

The system setup consists of compute nodes featuring a multi-node architecture with AMD EPYC 9754 processors, each equipped with 256+ CPU cores, supporting parallel processing for computationally intensive workflows. The GPU acceleration will utilize NVIDIA H100 Tensor GPUs, optimized for deep learning, molecular simulations, and AI-driven analytics. The DSC Core will also include cold storage with a 1 PB infrastructure, designed for long-term archival and management of large datasets. With state-of-the-art computational resources, cloud integration options, and scalable infrastructure, the DSC Core is committed to enabling data-driven discoveries across diverse scientific disciplines at UNT Health.