Kevin Carlberg is currently on sabbatical. Previously, he was Director of AI Research Science at Meta (5+ years), Distinguished Member of Technical Staff at Sandia National Laboratories (8+ years), and received his PhD from Stanford. He currently holds an Affiliate Associate Professorship of Applied Mathematics and Mechanical Engineering at the University of Washington . He specializes in leading multidisciplinary research teams into new technology areas that require fundamental contributions in contextual AI, computational math, and computational physics.

At Meta, Kevin initiated, grew, and led a multidisciplinary (AI, HCI, SWE, PM, Design, UX), cross-org (Reality Labs Research and FAIR) research team focused on building novel AI and simulation technologies for Meta’s wearable computers and VR/MR devices. His technical leadership spanned the domains of contextual AI and computational physics.

At Sandia National Laboratories, Kevin initiated, grew, and led a research team in developing new computational methodologies to enable extreme-scale physics simulations to execute in near real time for high-consequence national-security applications. His technical leadership spanned the domains of AI-driven model reduction and large-scale uncertainty quantification. His plenary talk at the ICERM Workshop on Scientific Machine Learning summarizes this work.