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2017 GTC San Jose

Bryan Catanzaro

VP of Applied Deep Learning Research, NVIDIA

Speaker Bio

Bryan Catanzaro is VP of Applied Deep Learning Research at NVIDIA, where he leads a team solving problems in fields ranging from video games to chip design using deep learning. Prior to his current role at NVIDIA, he worked at Baidu to create next generation systems for training and deploying end-to-end deep learning based speech recognition. Before that, he was a researcher at NVIDIA, where he wrote the research prototype and drove the creation of CUDNN, the low-level library now used by most AI researchers and deep learning frameworks to train neural networks. Bryan earned his PhD from Berkeley, where he built the Copperhead language and compiler, which allows Python programmers to use nested data parallel abstractions efficiently. He earned his MS and BS from Brigham Young University, where he worked on computer arithmetic for FPGAs.

Speaker Sessions