Keenan Crane is the Michael B. Donohue Associate Professor of Computer Science and Robotics at Carnegie Mellon University, and a member of the Center for Nonlinear Analysis. He received his BS from UIUC, was a Google PhD Fellow at Caltech, an NSF Mathematical Sciences Postdoctoral Fellow at Columbia University, and a Packard Fellow at CMU. His work uses insights from differential geometry to build methods for processing, designing, and analyzing geometric data. More broadly his work develops fundamental representations and algorithms for visual and geometric computing.