Luning Sun
Machine Learning Physicist Scientist at Applied Materials
Fremont, California, United States
Summary
👤
Senior🎓
Top SchoolLuning Sun is a postdoctoral researcher at Lawrence Livermore National Laboratory with 10 years of experience applying deep learning to physical and engineering systems. Holding a PhD in Mechanical Engineering from the University of Notre Dame, Luning has developed physics-informed neural networks for EDA at Cadence and led deep-learning projects for coastal and mechanical problems during graduate research. Based in Fremont, California, they bridge theory and application—translating complex PDE-constrained problems into deployable ML models for national-lab scale use cases. Luning’s background in civil engineering and hands-on experience across academia and industry give them a pragmatic edge when moving research prototypes toward engineering integration. Curious and cross-disciplinary, they often work at the intersection of data-driven methods and traditional simulation to accelerate scientific discovery.
10 years of coding experience
11 years of employment as a software developer
HIgh School, HIgh School at High School Attached to Northeast Normal UniversityBachelor's degree Civil Engineering, Bachelor's degree Civil Engineering at Tianjin UniversityDoctor of Philosophy Aeronautics/Aviation/Aerospace Science and Technology, General, Doctor of Philosophy Aeronautics/Aviation/Aerospace Science and Technology, General at University of Notre Dame
English, Chinese, Japanese
Github Skills (5)
bayesian7
deep-learning7
simulation3
neural-network3
segmentation3
Programming languages (3)
Github contributions (5)
Jianxun-Wang/LabelFree-DNN-Surrogate
Jan 2020 - Jun 2022
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
Contributions:7 commits, 6 pushes in 2 years 4 months
deep-learning
Jianxun-Wang/Physics-constrained-Bayesian-deep-learning
Jul 2020 - Jul 2020
Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
Contributions:8 commits, 6 pushes in 1 day
bayesianneural-network
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