I am a Senior Member of Technical Staff at Sandia National Laboratories - California. I primarily work on research and development for HPC Software Technology. This HPC Software Technology enable Scientific Software relevant to the U.S. Department of Energy run well on supercomputing platforms having nodes with heterogenous devices, including GPUs. I am also interested in AI/ML for automated performance tuning and automated testing in HPC (including modern generative AI techniques), AI/ML-guided Scientific Software and hybrid supercomputer-cloud platforms. Key topics in my work are Kokkos, C++ Parallel STL, C++ Executors, OpenMP, MPI, loop scheduling and loop transformations, LLVM, adaptive runtime systems, tools for profiling and debugging, and performance modeling. I completed my PhD in 2015 from the University of Illinois at Urbana-Champaign, working under the supervision of Professor William (Bill) Gropp. During this time, I also worked with and held positions with the U.S. Department of Energy laboratories, particularly at Lawrence Livermore National Laboratory and Argonne National Laboratory. Since earning my doctorate, I continued research on combining work on loop scheduling and inter-node load balancing, making loop scheduling and load balancing work synergistically together to improve performance of scientific and engineering simulations run on supercomputers. In my previous role, which was at Brookhaven National Laboratory, I pursued research on loop scheduling and tasking strategies for high-performance computing applications and support for developing strategies in OpenMP, as well as examining performance optimizations that include techniques of auto-tuning and loop scheduling for Lattice Quantum Chromodynamics simulations intended to run on supercomputers featuring nodes with GPUs and/or MICs. I worked for United States Department of Energy's Exascale Computing Project subproject, Scaling OpenMP with LLVM for Exascale performance and portability, or SOLLVE. Finally, I actively worked with doctoral students at Stony Brook University on OpenMP tasking, unified virtual memory, and OpenShmem.