Michael J. Brim
About Michael J. Brim
Michael J. Brim is an R&D Staff - Tools Developer at Oak Ridge National Laboratory, where he has worked since 2012. He specializes in scalable system software and middleware for high-performance computing, focusing on enhancing HPC tools for users at the Oak Ridge Leadership Computing Facility.
Work at Oak Ridge National Laboratory
Michael J. Brim has been employed at Oak Ridge National Laboratory (ORNL) since 2012, serving as R&D Staff - Tools Developer. In this role, he focuses on enhancing high-performance computing (HPC) tools for users at the Oak Ridge Leadership Computing Facility. His work involves researching scalable system software and middleware specifically designed for exascale computing environments. Brim's contributions support the laboratory's mission to advance scientific discovery through innovative computing solutions.
Education and Expertise
Michael J. Brim holds multiple degrees in Computer Science. He earned a Bachelor of Science (B.S.) from Ohio Northern University, completing his studies from 1996 to 2000. He then pursued a Master of Science (M.S.) at the University of Wisconsin-Madison from 2001 to 2003. Brim continued at the same institution to achieve a Ph.D. in Computer Science, studying from 2003 to 2012. His academic background provides a strong foundation for his research in scalable storage and analysis of scientific big data.
Background
Before joining Oak Ridge National Laboratory, Michael J. Brim worked at the University of Wisconsin-Madison as a Research Assistant from 2001 to 2012. This role spanned 11 years and allowed him to gain extensive experience in research and development within the field of computer science. Additionally, he briefly served as a Research Scientist at Oak Ridge National Laboratory from 2000 to 2001. Earlier in his career, he completed a Cooperative Internship at American Electric Power from 1998 to 1999.
Research Focus
Michael J. Brim's research primarily concentrates on scalable system software and middleware for exascale high-performance computing. He is dedicated to improving tools that facilitate user interaction with HPC systems at the Oak Ridge Leadership Computing Facility. His work in this area includes addressing the challenges associated with the scalable storage and analysis of scientific big data, which is essential for advancing research capabilities in various scientific domains.