The Laboratory for Computer-Human Intelligence develops computational systems that augment human decision-making. We are interested in quantifying how humans make decisions (e.g. from being physically active to forming teams) and how they express their thoughts through everyday human signals (e.g. prosody, language, movement). To this end, we apply techniques from machine learning, human-computer interaction, game theory, recommendation systems, and crowd-sourcing. The goal through our work is to improve human health and wellbeing.