Bryan Catanzaro is a seasoned AI research leader with 16 years of experience who currently serves as Vice President of Applied Deep Learning Research at NVIDIA, applying deep learning to problems ranging from video games to chip design. He built early data-parallel tooling (Copperhead) during internships and research, linking compiler and hardware expertise to modern ML workflows. Previously he led a 15-person team at Baidu focused on speech recognition training and deployment, and his background spans academic research (PhD Berkeley) through industry R&D roles. Bryan combines deep systems and hardware insight with practical productionization of neural networks, enabling cross-domain innovation from simulation to production chips. Based in California, he is notable for bridging low-level architectures and high-level ML to accelerate applied research outcomes.
16 years of coding experience
12 years of employment as a software developer
PhD, Electrical Engineering and Computer Sciences, PhD, Electrical Engineering and Computer Sciences at UC Berkeley
BS, Computer Engineering and Russian, BS, Computer Engineering and Russian at Brigham Young University
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Bryan Catanzaro - Vice President, Applied Deep Learning Research at NVIDIA