Shane Corder [Moffitt Cancer Center]
For nearly 25 years, I have dedicated myself to empowering researchers and advancing science across a multitude of scientific domains via HPC. From system design and tuning to building custom applications, I enable complex simulations and data analysis that unlock new frontiers. My work currently focuses on application gateways using OOD to bridge the gap between infrastructure and cancer research. I specialize in democratizing access for heterogeneous user bases—from AI engineers needing reproducibility to oncologists requiring visualization. This robust architecture enables critical "bench-to-bedside" workflows where patient-facing clinicians leverage HPC, ensuring that technical barriers never impede scientific discovery.
Session
HPC faces a dual challenge of supporting AI/ML engineers alongside domain-specific researchers who may lack Linux expertise. This presentation explores leveraging OOD as a unified gateway for cancer research and AI/ML pipelines. We detail our technical strategy of configuring OOD interactive applications to launch and manage Apptainer containers. This strategy delivers portable, reproducible, and version-controlled software stacks - from GPU-accelerated PyTorch environments to GUI-based biomedical visualization tools, effectively democratizing access to HPC by abstracting the complexity of the container runtime and Slurm. We share how this approach provides a low entry barrier for oncologists/biologists, environmental consistency for AI experts, and reduces support burden.