Computational Core
Team approach to data science and AI-based research and development to improve health care.
Computational Core Services
- Data Requests
- Data Science Services
- Information Commons Support
- Translational Services & Clinical Deployment
- Software Development
- Data Modeling
Who can use this resource
Researchers across UCSF are encouraged to request the services of the Computational Core for projects that would benefit from a collaborative approach to AI and machine learning-based research.
Computational Core Infrastructure
Computational Core Team
Meet the Computational Core Team of computational data scientists, led by Director Jason Crane, PhD.
Software
- Combines in-house algorithms and software provided by external collaborators in both the academic and commercial sectors
- Clinical validation platforms for prospective evaluation of new quantitative software Image
- Annotation: MD.ai, NVIDIA AIAA
Scientific & High-Performance Computing Services
- SCS supports the computational core via recharge subscription to Radiology and Biomedical Imaging research groups.
- Sun’s Grid Engine (SGE) Scheduler
- NVIDIA’s DGX-2, the world’s first petaFLOPS system combining 16 interconnected GPUs to accelerate machine learning
- Wynton, shared high-performance computing cluster, comprised of approximately 400 CPU cores and 116 GPU
- The Facility for Advanced Computing (FAC) provides access to secure, affordable, and scalable data storage and computing services for the university’s researchers.
Data and Data Science Platform
- Information Commons
- Clinical Radiological Imaging Data AIR
Contact Us
Request data, image, and project collaborations.