Lily Wang's primary research interests lie in developing flexible, robust and computationally efficient statistical methodologies for solving problems arising from large-scale data with complex features, such as high-dimensional, longitudinal, functional, heterogeneous or spatially and/or temporally correlated data. These statistical methodologies have important applications in many areas, such as engineering, genetics, geography, financial economics, meteorology, environmental, neuroimaging and biomedical science.
Associate Professor of Statistics
Senior Personnel, D4 (Dependable Data Driven Discovery) Institute
Area of Expertise:
Statistical Learning for Complex & Large-scale Data
PhD & MS (2007), Statistics, Michigan State University
MS (2003), Mathematics, Tongji University, China