Carnegie Mellon University
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Daniel Bertrand Neill
Assoc Professor of Information Systems, RI
Office: HBH 2105B
Phone: (412) 268-3885
  Mailing address:
Carnegie Mellon University
Heinz School of Public Policy
5000 Forbes Avenue
Pittsburgh, PA 15213
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Research Interests

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 intelligencedata mininggame theoryintelligent environmentsmachine learningstatistics