Overview

Our group aims to find fundamental limits, optimal designs, and principled practical implementations of information systems and intelligent systems, often by pushing mathematical tools from information theory, signal processing, algebra, queuing, and learning theory in new directions. We also analyze extant biological and sociotechnical information systems through network science and data science.

A major current focus is on biological intelligence, machine intelligence, collective/institutional intelligence, and their interactions.

Broadly we are interested in improving health, welfare, and happiness in society. As such, we maintain bodies of work in several application domains, including science, engineering, health, and creativity. Some of our work is directed towards education and public policy.

The group is led by Lav Varshney.