Mohammad Nabian
Senior Software Engineer, AI-HPC at NVIDIA
California, United States
Summary
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Rockstar🎓
Top SchoolMohammad Nabian is a Senior Software Engineer specializing in AI for high-performance computing, with nine years of experience applying physics-driven deep learning, computational mechanics, and uncertainty quantification to real-world systems. Currently at NVIDIA, he bridges cutting-edge research and production software, building scalable AI-HPC solutions informed by a Ph.D. in Civil Engineering from UIUC. His academic work produced novel physics-informed regularization and neural chaos methods for high-dimensional stochastic differential equations, and practical frameworks for transportation reliability and free-surface flow simulation. Comfortable moving between research and engineering, he has a track record of turning advanced numerical methods into deployable tools. Based in California, he brings both deep domain expertise and production-grade software craftsmanship to complex scientific computing problems.
9 years of coding experience
1 year of employment as a software developer
Master of Science (M.Sc.), Civil Engineering, 3.96, Master of Science (M.Sc.), Civil Engineering, 3.96 at The George Washington UniversityUniversity of Illinois Urbana-ChampaignBachelor's degree, Civil Engineering, Bachelor's degree, Civil Engineering at Sharif University of Technology
English, Persian
Github Skills (19)
pytorch10
machine-learning10
deep-learning10
physics10
arxiv8
weather8
forecasting-models8
ray6
baidu6
keras6
graph5
spark4
keras-tensorflow4
forecasting4
tensorflow4
Programming languages (2)
Github contributions (5)
NVIDIA/physicsnemo
Feb 2023 - Apr 2025
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Contributions:468 reviews, 251 PRs, 189 pushes in 2 years 1 month
deep-learningmachine-learningnvidia-gpuphysicspytorch
mnabian/physicsnemo
Mar 2023 - Apr 2025
A PyTorch based deep-learning toolkit for developing DL models for physical systems
Contributions:539 pushes, 185 branches in 2 years
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