Interests

Functional data analysis, Bayesian statistics, longitudinal data and mixed modeling, categorical data, and biostatistics.

Bio & Featured Works

Mark J. Meyer, PhD, is part of the statistics group in the Department of Mathematics and Statistics. An expert in functional data analysis, he primarily works on problems related to function-on-function regression, historical functional linear models, and functional inference. In this context, he works with both Bayesian and nonparametric methodologies. Much of his current work is done with accessibility in mind: developing advanced statistical testing procedures for complex data structures that can be more easily implemented and understood by non-specialists. Hs is also interested in developing Bayesian methods for categorical data, including binary, ordinal, and count data types.

A biostatistician by training, Dr. Meyer is also an affiliate faculty member in the Center for Global Health Science and Security and part of the Global Infectious Disease Program. He works as a statistician collaboratively with researchers working in fields as diverse as epidemiology, development psychology, neurology, global health security, environmental health, political science, and animal behavior.

Academic Appointment(s)

Primary

Associate Professor, Department of Mathematics and Statistics