Welcome to My Homepage

My research mainly falls into the following areas: object oriented data analysis, functional dynamic modeling, and spatial statistics. My primary research centers on developing new mathematical and statistical methods to solve many problems from various scientific research fields.

Object oriented data, such as tree-structured data, random graphs, manifold data and curve data, are frequently collected. In object oriented data analysis, many problems were motivated by data from neuro-image which can be represented by a set of tree-structured objects. The fundamental properties of the topological structures were studied. I am particularly interested in the problem of modeling tree-structured data to explain the relationship between tree-structured covariates and numerical response, and/or between numerical covariates and tree-structured response.

Recently, my research interest centers on the development of novel statistical learning tools for analyzing big data collected from various networks, e.g., neuronal networks. Particularly, I have been working on the dynamical multiple-input, multiple-output networks.

Education

B.S., Nankai University, Tianjin, China

Ph.D., University of North Carolina, Chapel Hill

Current Research Interests

Object Oriented Data Analysis

Spatial Statistics

Information Fusion

Statistical Analysis on Networks

Computational Neuroscience

Contact Information

216 Statistics Building
Department of Statistics
Colorado State University
Fort Collins, CO80523

Email: wanghn@stat.colostate.edu
Voice: 970-491-2449

Acknowlegement of Support

My research has been supported by NSF grants DMS-0706761, DMS-0854903, DMS-1106975, DMS-1521746, DMS-1737795 and DMS- 1923142 as well as grants with other collaborators.