Emily L. Kang

I am a Professor of Statistics in the Division of Statistics and Data Science within the Department of Mathematical Sciences at the University of Cincinnati. I received my Ph.D. in Statistics from The Ohio State University.

My research focuses on statistical modeling and algorithms for data with complex dependence structures, Bayesian hierarchical modeling, uncertainty quantification, and principled methods motivated by real-world problems in remote sensing, engineering, and climate science.

Research Areas

• Spatial Statistics
• Uncertainty Quantification
• Bayesian Modeling
• Machine Learning
• Digital Twins (modeling & simulation)

Research Support

My research has been supported by the National Science Foundation (DMS–2053668), NASA-ROSES grants NNH18ZDA001N-SLSCVC and 80NM0018D0004 (NASA ROSES Sustaining Living Systems in a Time of Climate Variability and Change program, grant number 281945.02.03.09.34), Simons Foundation’s Collaboration Award (#317298 and #712755), and the Taft Research Center at the University of Cincinnati.