Morteza Mardani

Senior Research Scientist at NVIDIA

San Jose, California, United States
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Summary

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Morteza Mardani is a Senior Research Scientist at NVIDIA Research with a decade of experience advancing generative models and statistical signal processing across academic and industry labs. He built his foundation with a PhD in Electrical Engineering & Mathematics and postdoctoral training in electrical engineering and statistics at Stanford, complemented by a visiting scholar stint at UC Berkeley. At NVIDIA since 2020, he translates deep theoretical expertise into scalable research prototypes, drawing on prior research staff and long-term research roles that bridge theory and applied systems. Known for working at the intersection of telecommunications, statistics, and machine learning, he brings a rare blend of rigorous math background and hands-on model development. Based in California, he often operates where algorithmic innovation meets GPU-accelerated deployment, enabling research to move rapidly toward real-world impact.
code10 years of coding experience
job6 years of employment as a software developer
bookPhD Visiting Scholar, Computer Science & Statistics, PhD Visiting Scholar, Computer Science & Statistics at University of California, Berkeley
bookElectrical Eng., Telecommunications, Electrical Eng., Telecommunications at University of Tehran
bookUniversity of Minnesota Twin Cities
bookPostgraduate Degree, Electrical Eng. & Statistics, Postgraduate Degree, Electrical Eng. & Statistics at Stanford University
languagesEnglish, Persian
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Github Skills (12)

machine-learning10
pytorch10
deep-learning10
physics10
fine-tuning10
generative-model8
generative-adversarial-network7
denoising7
diffusion-probabilistic5
artificial-intelligence4
text-to-image1
imaging1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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MortezaMardani/Neural-PGD

Jul 2018 - Oct 2018

Contributions:20 commits in 3 months
MortezaMardani/morteza

Apr 2025 - Jun 2026

Contributions:21 pushes, 1 branch in 1 year 2 months
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