PNNL

Karl Pazdernik is a senior data scientist at Pacific Northwest National Laboratory. He is also a research assistant professor at North Carolina State University (NCSU) and the chair of the American Statistical Association Section on Statistics in Defense and National Security. His research has focused on the dynamic modeling of multi-modal data with a particular interest in text analytics, spatial statistics, pattern recognition, anomaly detection, Bayesian statistics, and computer vision. Recent projects include natural language processing of multilingual unstructured financial data, anomaly detection in combined open-source data streams, automated biosurveillance and disease forecasting, and deep learning for defect detection and element mass quantification in nuclear materials. He received a Ph.D. in Statistics from Iowa State University and was a postdoctoral scholar at NCSU under the Consortium for Nonproliferation Enabling Capabilities.

Iowa State University
Doctor of Philosophy, Statistics

Saint John's University
Bachelor of Arts, Mathematics