Dr. Christopher W. Clifton is a Professor of Computer Science at Purdue University. His research interests include data mining, data security, database support for text, and heterogeneous databases. Dr. Clifton works on challenges posed by novel uses of data mining technology, including data mining of text, data mining techniques applied to interoperation of heterogeneous information sources, and security and privacy issues raised by data mining. Fundamental data mining challenges posed by these applications, include extracting knowledge from noisy data, identifying knowledge in highly skewed data (few examples of “interesting” behavior), and limits on learning. He also works on database support for widely distributed and autonomously controlled information, particularly information administration issues such as supporting fine-grained access control. Prior to joining Purdue in 2001, Dr. Clifton was a Principal Scientist in the Information Technology Division at the MITRE Corporation. Before joining MITRE in 1995, he was an Assistant Professor of Computer Science at Northwestern University. He has a Ph.D. from Princeton University, and Bachelor’s and Master’s degrees from the Massachusetts Institute of Technology. He is a fellow of the IEEE and a Distinguished Member of the ACM.