Sherry Li, LBNL Sherry Li is a Senior Scientist in the Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory. She has worked on diverse problems in high performance scientific computing and machine learning, including parallel algorithms, sparse matrix computations, high precision arithmetic, combinatorial scientific computing, and Bayesian optimization. She is the lead developer of SuperLU, a widely-used sparse direct solver, and has contributed to the development of several other mathematical libraries, including ARPREC, LAPACK, PDSLin, STRUMPACK, and XBLAS. She earned Ph.D. in Computer Science from UC Berkeley and B.S. in Computer Science from Tsinghua Univ. in China. She has served on the editorial boards of SIAM J. Scientific Computing, ACM Trans Math Software, and IJHPCA, as well as many program committees of the scientific conferences. She is a Fellow of SIAM and a Senior Member of ACM.