Research covers theory, simulation, and implementation. We study the fundamental problems in information and coding theory, communication, data science, network science, optimization, statistics, machine learning, distributed systems, economics, statistical signal processing, and stochastic control. The motivations are guided by societally important applications such as data centers, distributed storage and content delivery, peer-to-peer computing, social networks, control over wireless networks, cognitive radio, spectrum sharing, scheduling, privacy and security, incentive and mechanism design with resource constraints, sensor networks, transportation systems, hybrid systems, systems biology, DNA and RNA sequencing and storage, and MRI. We develop and apply tools in probability theory, information and coding theory, functional analysis, convex geometry, queuing theory, stochastic processes, optimization theory, statistical physics, statistics, and game theory. We also research fundamental building blocks of large-scale communication and computing infrastructures.