Kevin Lee recognized for coauthoring two winning papers

Kevin Lee and his coauthors won the competition of the Statistical Learning and Data Mining (SLDM) section for "Model-Based Clustering for Large Scale Dynamic Networks" and also won the biometrics section student paper competition with their paper entitled "Nonparametric mixture of Gaussian graphical models, with applications to attention deficit hyperactivity disorder (ADHD) imaging data,” but since students are only allowed to win one, Kevin chose to accept the SLDM award.

Selected winners will present their papers at the 2016 JSM in Chicago, IL. Winning papers will be recommended for submission to Statistical Analysis and Data Mining: The ASA Data Science Journal.