Computational Ophthalmology

The Computational Ophthalmology core provides high-performance computing resources and state-of-the-art custom computer programming to support UCSD vision investigators’ cellular, animal, and human vision and genomics research. The powerful CPU and GPU computational condo clusters (Triton Shared Computational Cluster (TSCC)) managed by the San Diego Supercomputer Center, and custom software tools provided by this core facilitate analysis of these large datasets. The Computational Ophthalmology core also supports a computer programmer with image analysis and deep learning programming expertise to support computational analyses of both basic science and clinical vision research projects. In addition, institutional software licenses (FilemakerPro, Github, FreezerPro) are provided.

For investigators interested in leveraging data from electronic health records (EHRs), the core also supports a computational data scientist who is Epic Clarity-certified and can conduct queries and data extraction from the UCSD Clinical Data Warehouse. The core is also engaged in collaborations with UCSD Enterprise IT regarding the development of research data management infrastructure using Amazon Web Services.