Understanding The Importance Of Graph Analytics

Julian Shun is an Associate Professor at MIT in the EECS department and a principal investigator in CSAIL. He earned his Ph.D. from Carnegie Mellon University and was a Miller Research Fellow at UC Berkeley. His research focuses on parallel and high-performance computing, where he designs efficient algorithms and data structures, with a recent emphasis on graph analytics, spatial and graph clustering, and dynamic algorithms. Julian also works on high-level programming frameworks to simplify writing efficient parallel code.

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