David Backeberg
About David Backeberg
David Backeberg is a High Performance Computing Systems Engineer at Yale University, specializing in scalable systems and high-speed data transfer. He has extensive experience in supporting computational infrastructure for research in various scientific fields.
Current Role at Yale University
David Backeberg serves as a High Performance Computing Systems Engineer at Yale University since 2016. He is part of the Center for Research Computing in New Haven, CT. In this role, he supports large-scale computational infrastructure that facilitates research across various scientific disciplines, including medicine, biology, and geology. His responsibilities include building and maintaining GPU farms, which are essential for computational research.
Previous Experience in High Performance Computing
Before his current position, David Backeberg worked at Yale University as a Senior Operating Systems Programmer from 2012 to 2016. He contributed to the design and support of peta-scale storage systems for university research projects. His earlier roles include working as a Linux Systems Administrator at Higher One from 2007 to 2012 and at Case Western Reserve University from 2006 to 2007.
Educational Background
David Backeberg studied Computer Science at Case Western Reserve University, where he earned his Master of Science degree from 2005 to 2008. He also attended Wartburg College from 1998 to 2002. His education has provided him with a strong foundation in computing and systems engineering.
Technical Support Experience
David Backeberg began his career in technical support, working at Microway, Inc. as a Linux and Unix Technical Support specialist from 2002 to 2004. He also served as a Network Staff Assistant at MIT from 2004 to 2005. These roles contributed to his expertise in systems administration and network management.
Specialization in Scalable Systems
David Backeberg specializes in designing scalable systems that utilize infiniband networks for high-speed data transfer. His expertise in this area has been instrumental in supporting high-performance computing initiatives and enhancing computational capabilities in research environments.