How can HD video be compressed and sent over an LTE network to your phone? How are medical images acquired and analyzed to diagnose diseases? And how does Netflix learn about your taste on movies? These are some of the questions that drive the exciting research on information, communication, and networks. At Princeton, we derive answers to these questions using the intriguing language of mathematics and engineer our solutions into products we use every day. This work benefits from many decades of intellectual heritage in information sciences and systems and, in turn, guides the future evolution of information technology. Graduate education in information sciences and systems emphasizes breadth and fundamentals in systems, probability, random processes, analysis and optimization. Our research focuses on principles and underlying theories exemplified by information theory, coding theory, signal, image and video processing, machine learning, data transmission and compression, and networking.