Jonathan Bentz is a Certified Instructor with the Deep Learning Institue and a Solutions Architect with NVIDIA, focusing on Higher Education and Research customers. In this role, he works as a technical resource for customers to support and enable their adoption of GPU computing. He delivers GPU training such as programming workshops to train users and help raise awareness of GPU computing. He also works with ISV and customer applications to assist in optimization for GPUs through the use of benchmarking and targeted code development efforts. Prior to NVIDIA Jonathan worked for Cray as a software engineer where he developed and optimized high-performance scientific libraries such as BLAS, LAPACK, and FFT specifically for the Cray platform. Jonathan obtained his Ph.D. in physical chemistry and his MS in computer science from Iowa State University.