Dr. Burns’s research focuses on the management, performance, and security of large data sets, for scientific applications. His recent results address query processing for data-intensive science applications, redundancy coding and auditing of outsourced storage services, and adaptive performance management for network data protocols.
His current focus is to build scalable systems that support neuroscience imaging analysis and annotation with the goal of reverse engineering the neurophysiology of mamalliam brains. This work is more fully described at the Open Connectome Project.
He was formerly a Research Staff Member in Storage Systems at IBM’s Almaden Research Center in San Jose. He earned his Ph.D. in 2000 and M.S. in 1997 from the Department of Computer Science at the University of California at Santa Cruz. He earned his B.S. degree from the Department of Geophysics at Stanford University.