George Amvrosiadis is an associate 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.

2311 Collaborative Innovation Center
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George Amvrosiadis
George Amvrosiadis’ website

Building the Software Infrastructure of the Future


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

2009 BA, Computer Science, University of Ioannina


Media mentions

R&D World Magazine

DeltaFS recognized as exceptional new product by R&D World Magazine

The Parallel Data Lab’s DeltaFS project recently received the prestigious R&D 100 Award from R&D World magazine, a leading resource for research scientists, engineers, and technical staff members at laboratories around the world.

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.