Faculty

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

Areas of expertise: Statistical Learning, Structural Biology, Methods for Genomic Data Analysis, RNA Biology and Medicine, Methods for RNA Design

Research Interests: Causal Inference, Data Fusion, Agent-Based Models, Infectious Disease Epidemiology

Research interests: development of statistical methods, computational algorithms and software tools for quantitative and statistical genetics. Graduate Groups: Animal Biology; Biostatistics; Integrative Genetics and Genomics.

Areas of expertise: Graphical model, point process, causal inference, statistical neuroscience.

Research Interests: Dimension Reduction, Functional / Longitudinal Data Analysis, Survival Analysis, Neuroimaging, Applications to Science