MSST 2015 Speaker
James Reaney, SGI
Data-Driven Science: SGI for Genomics Analysis
Dr. Reaney gives a brief perspective of computational solutions for genomics analysis with an eye towards how the generation and manipulation of genomics data has both enabled and constrained the science. An overview of a few SGI customers and their workflows in the genomics research space is presented. With ever-expanding genomics workflows in mind, Dr. Reaney introduces the SGI UV system with NVMe storage as a tool capable of addressing both present and especially future workflows, enabling the science in ways not possible with other architectures.
James Reaney has more than eighteen years of experience as an IT Manager and computing/networking/storage analyst in various HPC research environments. Prior to joining SGI, Dr. Reaney was a Director for Hitachi Data Systems' Healthcare & Life Sciences business segment, and he also created and led the Research Markets business segment for BlueArc Corporation. Earlier in his career Dr. Reaney was Network & Server Operations Manager for Life Sciences at Harvard University where he helped architect and build various computing solutions to support both the academic and research missions for the faculty. Today Dr. Reaney visits research computing environments worldwide to help others in the community better design and implement their own solutions. His experience provides him with a solid working knowledge of research customers' day-to-day operations, the challenges faced by local IT staff, and how the SGI family of products help accelerate and scale research projects while making life a little easier to manage for the IT administrator.