Georgia Institute of Technology

Charles Isbell, Jr. shows a passion for artifical intelligence through his research. He focuses on applying statistical machine learning to building autonomous agents that must live and interact with large numbers of intelligence agents, some of whom may be human.

Isbell has been working on adaptive modeling, activity discovery, and scalable coordination recently. He has also started work on programming languages for people who may not be experts at programming.