Yining Qin is a Senior AI Application Development Tech Lead and Senior Staff Scientist at Lawrence Livermore National Laboratory with over 15 years of experience applying advanced machine learning and control systems to high-stakes domains such as fast x-ray targeting, particle accelerators, nuclear fusion plasma control, swarm robotics, and cyber security for nonproliferation. He holds a PhD in electrical engineering and computer science and combines deep research credentials with hands-on engineering—FPGA and PLC control, Ignition HMI, and high-dimensional surrogate models using deep graph neural networks. As a Principal Investigator and program lead, he has steered interdisciplinary teams and funded projects reviewed by NNSA and ARPA-E, and serves as an editor and subject-matter expert in homeland security information. Notably, his work spans both energy systems optimization from earlier utility leadership and cutting-edge AI for autonomous sensing, reflecting a rare blend of industrial-scale operations expertise and experimental science.
9 years of coding experience
29 years of employment as a software developer
Bachelor's degree Electrical Engineering and Computer Science, Bachelor's degree Electrical Engineering and Computer Science at Northeast Electric Power University
Doctor of Philosophy - PhD Electrical engineering and computer science, Doctor of Philosophy - PhD Electrical engineering and computer science at Dalian University of Technology
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
Contributions:9 pushes, 2 branches in 3 months
fluidfinite-differencesimulationcurvilinearplasma
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Yining Qin - Senior AI Application Development Tech Lead