Catherine Calder

Catherine Calder (also known as Kate Calder) is a Professor of Statistics at The Ohio State University and served as Co-Director of the Mathematical Biosciences Institute (MBI) from 2018-2019. She is a faculty affiliate of the Institute for Population Research and the Translational Data Analytics Institute at Ohio State.

• PhD in Statistics, Duke University (2003)

Her research focuses on developing stochastic models for complex spatial-temporal dependencies using Bayesian hierarchical modeling paradigms, particularly for high-dimensional and computationally intensive problems in environmental, social, and health sciences. Key methodological contributions include:

• Dimension reduction techniques for spatio-temporal data
• Covariate-driven nonstationary spatial models
• Data-augmentation algorithms for spatial generalized linear models
• Latent space models for two-mode networks
• Model-based network comparison frameworks

She currently collaborates with social scientists on the Adolescent Health and Development in Context Study at Ohio State. Professional leadership roles include associate editorships for the Annals of Applied Statistics and Bayesian Analysis, and active participation in the American Statistical Association (ASA) and International Society for Bayesian Analysis.

• NIH-funded research
• NSF-funded research
• NASA-funded research