He received his B.S. in Computer Science from the Massachusetts Institute of Technology and M.S. in Computer Science from Stanford University. Gabriel is the lead developer on IBM's Intelligent ILM tool, which successfully right-tiered over 1.1 PB of storage and reduced IBM CIO office's per-GB storage cost by 50%. The analytics-driven tool automates the process of load balancing data across the different storage tiers in an environment resulting in higher use of lower cost storage, which greatly reduces overall storage costs. His research interests include big data, analytics, and large-scale systems. In his free time, he enjoys running and salsa dancing.