Summary
Kristi Belcher is a software engineer with 10 years of experience specializing in high-performance computing, memory management, parallel programming, and GPU-focused optimization. Based at Lawrence Livermore National Laboratory, she brings hands-on expertise from research and industry internships at Oak Ridge, Qualcomm, and Apple, where she worked on Summit-scale experiments, OpenCL/Adreno tuning, and Metal ML ports. Her academic work—anchored by a MS from University of Oregon and a high-achieving BS in Computer Science—includes multi-GPU research demonstrating subtle performance impacts of memory vs. control-flow irregularity. A recognized community mentor (GHC2020, SC2020), she balances rigorous benchmarking with practical system design to extract performance on heterogeneous platforms. Notably, her background spans both device-targeting scientific visualization algorithms and low-level modem memory optimization, giving her a rare cross-domain perspective on performance engineering.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Oregon
Bachelor of Science (B.S.), Computer Science, 3.95, Bachelor of Science (B.S.), Computer Science, 3.95 at Texas State University-San Marcos