Kevin Carlberg is a Director of AI Research Science Manager at Meta Reality Labs Research and an Affiliate Associate Professor of Applied Mathematics and Mechanical Engineering at the University of Washington. He leads a multidisciplinary, cross-organizational research team focused on enabling a new era of human-augmenting AI with wearable computers by developing AI breakthroughs across the domains of embodied AI, multimodal machine learning, conversational AI, and AI-accelerated computational physics. His individual research combines concepts from machine learning, computational physics, uncertainty quantification, and high-performance computing to drastically reduce the cost of simulating nonlinear dynamical systems at extreme scale, and he has authored some of the most highly-cited articles of the past decade in computational physics.

Previously, Kevin was a Distinguished Member of Technical Staff at Sandia National Laboratories in Livermore, California, where he led a research group of technical staff, postdoctoral researchers, and PhD students in developing and applying these techniques to a wide range of high-consequence national-security applications in mechanical and aerospace engineering. Kevin received his PhD in Aeronautics & Astronautics from Stanford University in 2011, and was the recipient of multiple research fellowships, including the President Harry S Truman Fellowship at Sandia National Laboratories from 2011 to 2014.