Research Interests: New algorithms for clustering post-genomic data, Powerful geometric methods for processing image data and for comparisons of 3D-images in a high-throughput manner, Efficient and robust solvers of partial differential equations to understand the solvation and thermodynamics of drug targets
Research Interests: multilevel and latent variable models, longitudinal and clustered data analysis, and the evaluation of screening and diagnostic tests
Research Interests: Functional Data Analysis, Fréchet Analysis of Random Objects (Distributions, Covariances, Networks), Applications (Longitudinal Studies, Brain Imaging, Growth and Development, Aging and Longevity)
Research Emphasis: comparative effectiveness research in cancer, causal inference methods, and application of mathematical models with observational data for the prediction of patient outcomes