Maziar Raissi

United States
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Summary

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Rockstar
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Maziar Raissi is an applied mathematician and machine learning researcher with nine years of experience bridging deep learning theory and real-world systems. He has held academic posts as an assistant professor and postdoc at leading universities and applied his expertise at NVIDIA as a senior software engineer, proving he can move between rigorous research and production engineering. His work focuses on leveraging data as the “source code” for deep models and injecting prior knowledge to make learning possible even with limited datasets. Trained with multiple advanced degrees in applied mathematics, statistics and economics, he brings a strong quantitative foundation to problems in modeling, simulation, and scientific computation. Colleagues value his ability to translate theoretical insights into practical algorithms and scalable implementations. Less obvious: he pairs academic rigor with industry pragmatism, having contributed to both world-class research and Treasury-level quantitative analysis early in his career.
code9 years of coding experience
job8 years of employment as a software developer
bookThe University of Maryland, College Park
bookBachelor's Degree, Applied Mathematics, Bachelor's Degree, Applied Mathematics at University of Isfahan
bookMaster's Degree, Applied Mathematics, Master's Degree, Applied Mathematics at Isfahan University of Technology
bookDoctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at George Mason University
languagesPersian, English, French, German
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Github Skills (15)

deep-learning10
multistep10
gaussian-processes9
machine-learning8
backpropagation8
matlab7
neural-network6
big-data6
cpp6
python5
cuda5
hpc-cluster3
slurm3
aws-cloud2
aws2

Programming languages (5)

C++CMathematicaMATLABPython

Github contributions (5)

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maziarraissi/TutorialGP

Mar 2017 - Feb 2020

Tutorial on Gaussian Processes
Contributions:12 commits, 19 pushes, 1 branch in 2 years 11 months
gaussian-processes
maziarraissi/HFM

Feb 2020 - May 2020

Hidden Fluid Mechanics
Contributions:2 releases, 9 commits, 14 pushes in 3 months
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