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Bryan Catanzaro
Bryan Catanzaro's profile covers his NVIDIA career, deep learning research, and work in speech recognition.
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About
Bryan Catanzaro is Vice President, Applied Deep Learning Research at NVIDIA, where he focuses on applying deep learning to problems ranging from video games to chip design. His work spans deep neural networks, machine learning, computer architecture, and AI research. Before taking his current leadership role, he worked as a research scientist at NVIDIA and as a senior researcher at Baidu, where he managed a team researching methods for training and deploying deep neural networks, with a focus on speech recognition. Catanzaro also has academic research experience from the University of California, Berkeley, and has contributed to work in areas including end-to-end speech recognition and deep learning. Quick Facts about Bryan Catanzaro: Field Details Full Name Bryan Catanzaro Current Position Vice President, Applied Deep Learning Research Current Company NVIDIA Location Santa Clara, California, United States Previous Leadership Experience Managed a 15-person research team at Baidu Previous Companies Baidu, NVIDIA Academic Institution University of California, Berkeley Education PhD in Electrical Engineering and Computer Sciences; MS in Electrical Engineering Languages English, Russian Technical Skills Listed Computer Architecture, Verilog Publication DeepSpeech: Scaling up end-to-end speech recognition Research Area Deep neural networks and end-to-end speech recognition Career Overview of Bryan Catanzaro: Catanzaro began his professional research career at NVIDIA, where he also completed an internship focused on the Copperhead language and compiler. He later became a Research Scientist at the company before joining Baidu as a Senior Researcher in 2014. At Baidu, he managed a 15-person research team focused on deep neural network training and deployment, particularly for speech recognition. He returned to NVIDIA in 2016 as Vice President of Applied Deep Learning Research. His academic background includes graduate research in Electrical Engineering and Computer Science at UC Berkeley. Career Timeline: Year Career Development 2004–2005 MS, Electrical Engineering, Brigham Young University: Completed a master's degree in Electrical Engineering. 2005–2011 Graduate Student Researcher, University of California, Berkeley: Conducted graduate research while pursuing a PhD in Electrical Engineering and Computer Sciences. May 2009–Aug 2009 Intern, NVIDIA: Worked on the Copperhead language and compiler during an NVIDIA internship. 2005–2011 PhD, Electrical Engineering and Computer Sciences, University of California, Berkeley: Completed doctoral studies in Electrical Engineering and Computer Sciences. May 2011–Jun 2014 Research Scientist, NVIDIA: Worked on research involving deep learning and related computing technologies. Jun 2014–Aug 2016 Senior Researcher, Baidu: Managed a team of 15 researchers working on tools and methodologies for training and deploying deep neural networks, with a focus on speech recognition. Sep 2016–Present Vice President, Applied Deep Learning Research, NVIDIA: Leads applied deep learning research focused on using deep learning to address problems ranging from video games to chip design.
Experience
Other
Baidu, Inc.
Jun 2014 to Aug 2016
Senior Researcher
Other
Intel
May 2007 to Aug 2007
Researched methodologies for integrating data structures between physical simulation and rendering systems.
Other
Tabula
May 2006 to Aug 2006
Contributed to the development of Tabula’s proprietary processor architecture.
Other
Tabula
May 2005 to Aug 2005
Researched soft-core CPU architectures and added functionality to a Verilog simulator.
Other
University of California, Berkeley
Jan 2005 to May 2011
Graduate Student Researcher
FAQs
- Bryan Catanzaro is a technology and AI researcher who serves as Vice President, Applied Deep Learning Research at NVIDIA. His work focuses on applying deep learning to areas ranging from video games to chip design. His background also includes research positions at NVIDIA and Baidu.