Dr. Ioerger's research interests are in the areas of Artificial Intelligence, Intelligent Agents, and Machine Learning. His work has covered diverse areas, from spatial reasoning, to simulating team-work, to modeling emotions. Currently, his primary focus is on designing multi-agent system architectures to simulate collaborative behavior and teamwork. He also applies AI and machine learning methods to various problems in the area of Bioinformatics, including the improvement of protein sequence alignments, molecular modeling, and X-ray crystallography. The latter research has lead to the development of an automated software system for protein model-building called TEXTAL, which is currently being used by crystallographers throughout the world.