Dr. Tass holds a PhD in Statistics and has extensive experience working on projects involving a variety of data types, such as spatially and temporally correlated data, repeated measurements, microarrays, and structural MRI. She has also recently collaborated on projects focusing on individuals with Autism. Her expertise spans a wide range of statistical tools, from basic linear models to more complex methods like classification and regression trees, multivariate models, and generalized linear models. Additionally, she has conducted statistical work in fields including genetics and proteomics (microarrays), spatial and environmental challenges, biostatistics, and astronomy. Many of the statistical methods applied in these domains are directly relevant to analyzing physiological and other data, including managing large datasets, spatial and temporal correlations, multivariate analysis, latent variable models, Bayesian methods, and multiple testing approaches.
