People

Research Interests: Manifold learning, deep learning, and large foundation models; High-dimensional statistics and applied random matrix theory; Non-stationary time series analysis; Applications in biological and medical sciences

Research Interests: Causal Inference, Missing Data, Epidemiology

Research Focus: Methods to analyze change, intra-individual variability, techniques to model dyadic interactions associated with reasoning and reading achievement from childhood to adolescence, how intra-individual dynamical information can be retained and used to explain inter-individual differences across a population.

Research interests: analyzing high dimensional data, particularly neuroimaging data.

Research Interests: Data Mechanics and Integrative Pattern Inferences on Complex Systems

Research Interests: Analysis of data with complex structure (including repeated measures), longitudinal assessments with dropouts, and clustered data with informative cluster size.

Research Interests: Mixed Effects Modeling Including Linear and Generalized Linear Mixed Models, Asymptotics, Small-Area Estimation, Analysis of Longitudinal Data, Model Selection and Diagnostics

Research Focus: Quantitative epidemiology (companion animals), non-experimental inference, epidemiologic methodology and analysis, epidemiology of environmental hazards of animals and humans, companion animal epidemiology, hospital-based surveillance methodology, cancer research

Research Interests: Disease biomarkers, quantitative genetics, post- genomics, and statistical and research methodology