Maxim Naumov is a Senior Research Scientist at NVIDIA. His interests include parallel algorithms, numerical linear algebra, optimization and graphs. He contributes to the nvGRAPH Data Analytics library, and he previously led the development of the AmgX library, which provides distributed Algebraic Multigrid, Krylov and Relaxation-based solvers. He has also worked on the cuBLAS, cuSPARSE and cuSOLVER(RF) libraries that are part of the CUDA Toolkit. In the past, Maxim held positions in the NVIDIA CUDA Platform team, and the Intel Microprocessor Technology Lab and Computational Software Lab. He was also awarded the 2008-09 Intel Foundation Ph.D. Fellowship during his graduate studies. He received his Ph.D. in Computer Science (with specialization in Computational Science and Engineering) in 2009 and his B.Sc. in Computer Science and Mathematics in 2003, all from Purdue University, West Lafayette.