Charbel Sakr
Senior Research Scientist II at NVIDIA
Milpitas, California, United States
Summary
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Senior🎓
Top SchoolCharbel Sakr is a Senior Research Scientist at NVIDIA with eight years of experience at the intersection of machine learning, signal processing, and hardware-aware neural network design. A former PhD candidate at UIUC, he led foundational work on reduced-precision training and fixed-point neural networks with publications at ICML, ICLR, and ICCAD that bridge theory and silicon. At NVIDIA he progressed from Research Scientist to Senior Research Scientist II, applying analytical precision/SNR insights to in-memory computing and efficient accelerator designs. He has hands-on circuit and system experience from projects like KeyRAM and digital matrix-vector units, plus teaching experience developing a "Deep Learning in Hardware" course. Colleagues value him for turning rigorous theoretical guarantees into practical, hardware-minded ML systems that reduce compute and energy without sacrificing accuracy. Based in Milpitas, CA, he combines academic depth with production-oriented research at scale.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at University of Illinois Urbana-ChampaignBachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at American University of Beirut
English, French, ArabicGithub contributions (4)
charbel-sakr/Precision-Analysis-of-Neural-Networks
Dec 2017 - Mar 2018
Contributions:24 commits, 23 pushes, 3 branches in 3 months
charbel-sakr/Fixed-Point-Training
Jan 2019 - Jan 2019
Contributions:10 commits, 8 pushes, 1 branch in 1 day
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