David Skillicorn is a Professor in the School of Computing at Queen's University in Canada. His research is in smart information management, both the problems of extracting and sharing useful knowledge from data, and the problems of accessing and computing with large datasets that are geographically distributed. He has published extensively in high-performance computing and data mining. At present his focus is on understanding complex datasets in applications such as astrophysics, geochemistry, network intrusion, fraud detection, and counterterrorism. He has an undergraduate degree from the University of Sydney and a Ph.D. from the University of Manitoba.