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.
PhD in Aeronautics and Astronautics, 2011
MS in Aeronautics and Astronautics, 2006
BS in Mechanical Engineering, 2005
Washington University in St. Louis