Grace Wahba

Research involves multivariate function estimation and statistical model building, with emphasis on statistical theory, the developement of efficient numerical and statistical methods for large and extremely large data sets, and applications in the following areas: 1). Biostatistics: Identification and flexible quantification of risk factors in large demographic data sets. 2). Supervised machine learning: Development of complex, but interpretable learning models. 3). Numerical weather prediction: improved methods for ingesting heterogenous observational data and prior information into large school numerical weather prediction models. 4). Climate: Methods for analyzing complex multivariate global historical climate data.