Neil Mcglohon is a Staff Research Scientist at IBM Research with a PhD in Computer Science and a decade of experience in parallel, distributed, and high-performance computing. He specializes in brain-inspired computing and LLM inference, having built and maintained cloud-native stacks and optimized runtimes for AI inference hardware teams. Previously he led software and benchmarking efforts at RPI’s Center for Computational Innovations, bridging academic research and IBM AI Hardware Center projects. His background in physics and early work on lockless, RCU-based data structures reflect a systems-first approach that spans simulation, networking, and production deployment. Colleagues describe him as a pragmatic researcher who translates bleeding-edge architectures into usable software and measurable benchmarks.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Rensselaer Polytechnic Institute
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Oklahoma
Contributions:14 PRs, 153 pushes, 6 branches in 15 days
paxospythoncalendardistributed
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