Lixiang Luo
Research Scientist at IBM
Town of Yorktown, New York, United States
Summary
👤
Senior🎓
Top SchoolLixiang Luo is a research scientist with eight years of experience specializing in high-performance computing for computational physics, currently at IBM and collaborating with Oak Ridge National Laboratory and Nvidia on Summit deployments. He designs fine-grained parallel algorithms and GPU adaptations to stretch performance as Moore’s Law slows, and his work spans hybrid-cloud HPC, NVMe storage solutions, and virtualization tooling to support large-scale scientific workflows. His background in implicit finite-volume methods, mixed CUDA/OpenACC programming, and MPI for GPGPU contexts informs practical optimizations for real-world applications like tokamak transport modeling and CFD for wind farms. Lixiang blends deep academic training—a PhD from Lehigh—with hands-on systems engineering, enabling cross-institutional R&D and CAAR project support for leading supercomputers. An under-the-radar strength is his ability to translate application-level scientific insights into design guidance for future HPC systems, bridging domain science and infrastructure.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at Lehigh UniversityB.Sc. Mechanical Engineering, B.Sc. Mechanical Engineering at Tsinghua University
English, Chinese, Chinese, Japanese
Github Skills (7)
communications3
machine-learning3
ibm-watson3
watson-machine-learning3
get-started3
watson2
hpc1
Programming languages (5)
Github contributions (5)
l6l/l6l.github.io
Mar 2019 - Jan 2024
Contributions:2 pushes, 1 branch in 4 years 11 months
olcf-tutorials/openmp_offloading
Mar 2019 - Sep 2019
Contributions:17 commits, 25 pushes, 3 branches in 6 months
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