Data Systems Architect
Computing and Computational Sciences Directorate
Director, Compute and Data Environment for Science
Climate Change Science Institute
Oak Ridge National Laboratory
Galen Shipman is the Data Systems Architect for the Computing and Computational Sciences Directorate and Director of the Compute and Data Environment for Science at Oak Ridge National Laboratory (ORNL). He is responsible for defining and maintaining an overarching strategy and infrastructure for data storage, data management, and data analysis spanning from research and development to integration, deployment and operations for high-performance and data-intensive computing initiatives at ORNL. His current work includes addressing many of the data challenges of major facilities such as those of the Spallation Neutron Source (Basic Energy Sciences) and major data centers focusing on Climate Science (Biological and Environmental Research).
Prior to assuming his new position, Mr. Shipman was the Technology Integration Group Leader for the National Center for Computational Sciences. In this role he led efforts to address gaps within the computational environment in order to improve performance, scalability and productivity and keep the NCCS systems ahead of the technology curve. As a bridge between longer term computer science research and operations, he and his team developed, evaluated and integrated emerging technologies in areas such as networks, file systems, and archival storage; developed tools that enable users to take full advantage of the expanded capabilities of the NCCS leadership class systems; and provided the system programming to integrate technologies and tools into the infrastructure as they were adopted.
Mr. Shipman holds a B.A. in Finance and a M.S. in Computer Science from the University of New Mexico, in Albuquerque New Mexico. He has more than 15 years of experience as a computer scientist, software developer, and principal investigator. He is author or co-author on over 35 research papers in computer science and has contributed to numerous software projects in high performance and data intensive computing.