Andee Kaplan

Andee Kaplan is an Associate Professor in the Department of Statistics at Colorado State University. She completed her Ph.D. in Statistics at Iowa State University under advisors Dan Nordman and Steve Vardeman, a postdoc at Duke University with Beka Steorts, and holds advanced degrees in Statistics (M.S.) and Mathematics (M.A.) from Iowa State and The University of Texas at Austin respectively.

• Ph.D. in Statistics, Iowa State University (2017)
• Postdoctoral Researcher, Duke University
• M.S. in Statistics, Iowa State University
• M.A. in Mathematics, The University of Texas at Austin
• B.S. in Mathematics with Computing Certificate, The University of Texas at Austin

Her research bridges Statistics and Computing, focusing on Bayesian Statistics, Computational Statistics, Record Linkage/Entity Resolution, Markov chain Monte Carlo methods, Spatial Resampling, Statistical Machine Learning, Interactive Statistical Graphics, and Reproducible Research. Her methodological work emphasizes scalable algorithms for complex data structures in ecology, sports science, and public health.

Her recent publications highlight trends in Bayesian entity resolution for streaming data, spatial modeling of riverscapes, time-varying epidemic models, and computational methods for LiDAR data analysis. Over 2014-2025, her work spans theoretical advancements in deep learning degeneracy, practical software design for statistics, and interactive tools for network detection.