Dr. Greg Ganger

Biography

Greg Ganger is the Jatras Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. His research group explores new methods for structuring computer systems to address changes in technology and enable new functionalities. Current projects in his lab focus on cloud computing, system support for big data analytics, resource scheduling, and distributed storage systems. Ganger obtained his Ph.D. in Computer Science Engineering from the University of Michigan and undertook two-and-a-half years of postdoctoral training at the Massachusetts Institute of Technology. With broad research interests that include computer systems, cloud computing, storage and file systems, and operating systems, Ganger is involved in projects related to large-scale machine learning, cloud and cluster resource scheduling, and the exploitation of new storage and non-volatile memory technologies. His work addresses fundamental challenges in statistical machine learning and big data analytics, exploring innovative approaches to efficient and scalable big-learning systems. As the Director of the Parallel Data Lab, Ganger leads collaborations on storage-related projects across several domains, including the architecture of storage systems, file systems, and large-scale data systems.

Research Interests