Kevin Carlberg is an 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 research team focused on enabling the future of interaction in augmented and virtual reality 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, and high-performance computing to drastically reduce the cost of simulating nonlinear dynamical systems at extreme scale.

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.