He received his PhD in Computer Science from Columbia University. His research interests include machine learning, data mining, and their applications to distributed computing, computer security, and biomedical computing. He has published extensively and received support from DARPA in the area of machine learning and intrusion detection. Dr. Chan introduced to the curriculum courses in machine learning and has worked with undergraduate students on research projects in machine learning. He has served as a program committee member for the major data mining conferences: KDD, ICDM, and SDM, and is on the editorial board of Journal of Database Management. He co-edited the book "Advances in Parallel and Distributed Knowledge Discovery," AAAI/MIT Press, 2000.