George is an assistant research professor of Electrical and Computer Engineering at Carnegie Mellon University, with a courtesy appointment in the Computer Science Department, and a member of the Parallel Data Lab. His research focuses on distributed systems, operating systems, and data analysis. He co-teaches two popular graduate-level courses on advanced cloud computing and storage systems. He received his Ph.D. from the University of Toronto.
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George Amvrosiadis
George Amvrosiadis’ website


2016 Ph.D., Computer Science, University of Toronto

2009 BA, Computer Science, University of Ioannina


Media mentions

CMU Engineering

PDL receives computing cluster from Los Alamos

The Parallel Data Lab has received a supercomputer from Los Alamos National Lab that will be reconstructed into a computing cluster for education and research.


PDL team tests new file system on Trinity supercomputer

A team from the Carnegie Mellon Parallel Data Lab (PDL) recently completed work with Los Alamos National Lab using a novel file system to simulate physical phenomena involving as many as a trillion individual particles.