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Daniel Lowd is an Associate Professor in the Department of Computer Science at the University of Oregon. His research interests include machine learning and artificial intelligence, focusing on adversarial methods and statistical relational models.  He received his Ph.D. in 2010 from the University of Washington. He has received a Google Faculty Award, an ARO Young Investigator Award, and a best paper award from DEXA.