Luis Ceze is a Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. His research focuses on the intersection between computer architecture, programming languages, machine learning and biology. His current focus is on approximate computing for efficient machine learning and DNA-based data storage. His research has been featured prominently in the media including New York Times, Popular Science, MIT Technology Review, Wall Street Journal, among others. He is a recipient of an NSF CAREER Award, a Sloan Research Fellowship, a Microsoft Research Faculty Fellowship, the IEEE TCCA Young Computer Architect Award and UIUC Distinguished Alumni Award. He is an active member of the DARPA ISAT and MEC study groups, consults for Microsoft and Madrona Venture Group and co-founded Corensic, a UW-CSE spin-off company.