Ke-Thia Yao is a computer scientist in the Distributed Scalable Systems Division at the Information Sciences Institute. His research interests include developing information management systems for understanding, visualizing and organizing large data sets. Currently, he is working on the JESPP project which has the goal of supporting very large-scale distributed military simulations involving millions of entities. Within the JESPP project he is developing a suite of monitoring, logging, and analysis tools to help human users better understand the computational and behavioral properties of large-scale simulations. For his Ph.D. thesis he implemented a spatial and physical reasoning system that automatically generated grids for computational fluid dynamics simulators. He received his B.S. with honors in Electrical Engineering and Computer Science from UC Berkeley, and his M.S. and Ph.D. degrees in Computer Science from Rutgers University.