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IMAGE CREDIT: MIKE CIESIELSKI FOR JOHNS HOPKINS UNIVERSITY

Carey Priebe, professor in the Department of Applied Mathematics and Statistics, has been elected as a Fellow of the Institute of Mathematical Statistics, a recognition of his outstanding research and leadership in the field of statistics.

Priebe was specifically mentioned in his election as Fellow to the IMS Class of 2020 “[f]or his substantive and influential contributions to developments of statistical methods for analyzing data using finite mixture models; for his fundamental contributions to analysis, algorithm, and theory of network data with significant impact in practice; and for his exemplary mentorship to young people in the profession.”

Priebe’s research focuses on computational statistics, kernel and mixture estimates, statistical pattern recognition, dimensionality reduction, model selection, and statistical inference for high-dimensional and graph data.