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Kevin T. Carlberg

Machine Learning Research Scientist

Facebook Reality Labs

University of Washington

Kevin Carlberg is a Machine Learning Research Scientist at Facebook Reality Labs and an Affiliate Associate Professor of Applied Mathematics and Mechanical Engineering at the University of Washington . His research combines concepts from machine learning, computational physics, and high-performance computing to drastically reduce the cost of simulating nonlinear dynamical systems at extreme scale and to develop technologies that enable the future of virtual and augmented reality.

Previously, Kevin was a Distinguished Member of Technical Staff at Sandia National Laboratories in Livermore, California, where he led a research group of PhD students, postdocs, and technical staff in applying these techniques to a range of national-security applications in mechanical and aerospace engineering.

His recent plenary talk at the ICERM Workshop on Scientific Machine Learning summarizes his work.

Interests

  • Machine learning
  • Computational physics
  • Model reduction
  • Deep learning
  • Dimensionality reduction
  • Numerical optimization
  • Uncertainty quantification
  • High-performance computing

Education

  • PhD in Aeronautics and Astronautics, 2011

    Stanford University

  • MS in Aeronautics and Astronautics, 2006

    Stanford University

  • BS in Mechanical Engineering, 2005

    Washington University in St. Louis

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