Iuri Frosio
Principal Research Scientist at NVIDIA
Lombardy, Italy
Summary
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Senior🎓
Top SchoolIuri Frosio is a Principal Research Scientist with over 20 years of experience advancing AI, computer vision, medical imaging, and efficient deep learning architectures, currently leading research at NVIDIA in Silicon Valley. He blends academic rigor—a PhD in Biomedical Engineering and a long track record of journal and conference publications—with industry impact shown by 20+ international patents and a decade of consulting for global companies. Skilled in C++/CUDA and parallel programming, he has driven practical solutions from tomographic reconstruction and digital radiography to foundation-model research and reinforcement learning. Notably, his work consistently targets computational efficiency for real-world imaging systems, reflecting both low-level optimization expertise and high-level algorithmic innovation. Outside of work he’s an avid mountaineer and traveler, a profile that mirrors his appetite for technically demanding, exploratory problems.
9 years of coding experience
15 years of employment as a software developer
PhD Biomedical engineering, PhD Biomedical engineering at Politecnico di MilanoLiceo Scientifico
Italian, English, German
Github Skills (13)
cpu9
deep-reinforcement-learning9
reinforcement-learning8
gpu8
cuda7
hybrid6
computer-vision5
machine-learning4
deep-learning4
pytorch4
object-detection4
robustness4
adversarial-machine-learning3
Programming languages (2)
Github contributions (5)
NVlabs/SNN
Aug 2018 - Jun 2019
Contributions:10 commits, 7 pushes, 1 branch in 9 months
NVlabs/GA3C
Nov 2016 - Aug 2018
Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
Contributions:7 commits, 5 pushes, 2 branches in 1 year 8 months
cpua3cgpureinforcement-learningdeep-reinforcement-learning
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