Carey Priebe, Ph.D.

Carey E. Priebe received a B.S. in mathematics from Purdue University in Indiana, an M.S. in computer science from San Diego State University, and a Ph.D. in information technology (computational statistics) from George Mason University in Washington, D.C. He worked as a mathematician and scientist in the U.S. Navy research and development laboratory system until he became a professor in the department of applied mathematics and statistics at the Whiting School of Engineering at Johns Hopkins University. At Johns Hopkins, Priebe holds joint appointments in the department of computer science, the department of electrical and computer engineering, the Center for Imaging Science, the Human Language Technology Center of Excellence and the Whitaker Biomedical Engineering Institute.

His research interests include computational statistics, kernel and mixture estimates, statistical pattern recognition, statistical image analysis, dimensionality reduction, model selection and statistical inference for high-dimensional and graph data. Priebe is a senior member of the Institute of Electrical and Electronics Engineers, a lifetime member of the Institute of Mathematical Statistics, an elected member of the International Statistical Institute and a fellow of the American Statistical Association. He received an Office of Naval Research Young Investigator Award in 1995, the 2010 American Statistical Association Distinguished Achievement Award, the 2011 McDonald Award for Excellence in Mentoring and Advising, and in 2008 was named one of six inaugural National Security Science and Engineering Faculty Fellows.