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George Amvrosiadis is an Associate Research Professor at Carnegie Mellon University's Electrical and Computer Engineering Department, with an affiliation to the Computer Science Department and is a core member of the Parallel Data Lab. He has significantly contributed to the field of data-intensive cloud computing, having helped scientists run simulations on some of the world's largest supercomputers. His work has been recognized widely, receiving several awards including the R&D100 awards, the outstanding paper award at MLSys, and being a finalist for the IEEE/ACM Supercomputing paper award. His current research interests include distributed cloud storage, exploring new storage technologies, high-performance computing, and storage machine learning. Amvrosiadis emphasizes the importance of rethinking system designs that balance performance and cost and has been active in designing systems that support novel types of storage while remaining practical. He enjoys a variety of activities outside of his academic work, including hiking, biking, and playing video games.
Carnegie Mellon University • Pittsburgh, PA
Faculty member in Electrical and Computer Engineering, affiliated with the Computer Science Department, core member of Parallel Data Lab.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.