Brian Balderston
About Brian Balderston
Brian Balderston serves as the Director of Infrastructure for Research Data Services at the San Diego Supercomputer Center, a position he has held since 2018. He has a background in Management Science from UC San Diego and has previously worked in various roles at the same institution.
Work at San Diego Supercomputer Center
Brian Balderston has served as the Director of Infrastructure, Research Data Services at the San Diego Supercomputer Center since 2018. In this role, he oversees the infrastructure that supports research data services, contributing to the center's mission of advancing computational science. His tenure has spanned six years, during which he has played a key role in enhancing the center's capabilities in La Jolla, California.
Previous Roles at San Diego Supercomputer Center
Before becoming the Director of Infrastructure, Brian Balderston worked as the Deputy Director of IT Systems and Services at the San Diego Supercomputer Center from 2011 to 2018. In this position, he was responsible for managing IT systems and services, ensuring that the technological infrastructure met the needs of researchers and projects at the center. His experience in this role laid the groundwork for his current leadership position.
Education and Expertise
Brian Balderston studied Management Science at the University of California, San Diego. His educational background provides him with a strong foundation in management principles, which he applies in his current role overseeing infrastructure and data services. This expertise is essential for navigating the complexities of research data management and infrastructure development.
Career Background
Prior to his roles at the San Diego Supercomputer Center, Brian Balderston worked as a Systems Engineer at the University of California, San Diego from 2007 to 2011. In this capacity, he focused on developing and maintaining systems that supported various academic and research initiatives. His early career experience contributed to his understanding of system architecture and operational efficiency.