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Bryan Catanzaro
  • About

User Info

 

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.

 

 

Professional's Details

company logo

Current Company

NVIDIA

Role Icon

Role

Vice President and Applied Deep Learning Research

Contact Details

United States Postal Service, 4601 Lafayette St, Santa Clara, California 95054, United States

United States Postal Service, 4601 Lafayette St, Santa Clara, California 95054, United States

Social Media

  • linkedin
  • twitter

Expertise

  • Developer/Programmer
  • Vice President
  • Principal Engineer
  • Researcher
  • Head of research

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