Dr. Neill's research interests are in statistical machine learning, data mining, and pattern detection. He is particularly interested in developing new statistical and computational methods for the early, automatic detection of emerging public health threats ranging from avian influenza to bioterrorism. He is also investigating a variety of other large-scale anomaly detection problems related to medicine, public health, and homeland security.
|Research Interest Keywords|
|artificial intelligence, data mining, game theory, intelligent environments, machine learning, statistics|
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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