Keita Iwabuchi is a data scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. His research area is distributed systems and parallel computing, particularly in high performance computing (HPC). Major focuses are large-scale graph processing and system software for persistent memory (non-volatile memory).
Keita received his Ph.D. in Mathematical and Computing Sciences from Tokyo Institute of Technology in 2017 as well as his M.S. in 2014.