Yang Liu, LBNL Yang Liu is a research scientist in the Scalable Solvers Group of the Applied Mathematics and Computational Research Division at the Lawrence Berkeley National Laboratory, in Berkeley, California. Dr. Liu received the Ph.D. degree in electrical engineering from the University of Michigan in 2015. From 2015 to 2017, he worked as a postdoctoral fellow at the Radiation Laboratory, University of Michigan. From 2017 to 2019, he worked as a postdoctoral fellow at the Lawrence Berkeley National Laboratory. His main research interest is in numerical linear and multi-linear algebras, computational electromagnetics and plasma, scalable machine learning algorithms, and high-performance scientific computing. Dr. Liu is the lead developer of the linear solver package ButterflyPACK and autotuning package GPTune, and is a core developer for linear solver packages SuperLU_DIST and STRUMPACK.
Dr. Liu authored and co-authored the ACES Early Career Award 2025, AT-AP-RASC Young Scientists Award 2022, the APS Sergei A. Schelkunoff Transactions Prize Paper 2018, the ACES second place student paper, 2012, and the FEM first place student paper, 2014. Dr. Liu is the recipient of LBNL Early-Career Development Laboratory Directed Research and Development (ECD-LDRD) Award, 2022, a DOD SBIR Award, 2023, and a DOE SBIR Award, 2024.