Julian ShunJulian Shun obtained his Ph.D. in Computer Science from Carnegie Mellon University, advised by Guy Blelloch. He obtained his undergraduate degree in Computer Science from UC Berkeley. For his Ph.D., Julian developed Ligra, a framework for large-scalegraph processing in shared memory, as well as algorithms for graph and text analytics that are efficient both in theory and in practice. He also developed methods for writing deterministic parallel programs and created the Problem Based Benchmark Suite for benchmarking parallel programs. Julian is currently a Miller Research Fellow at UC Berkeley. Read More Read Less