About Shuo-Chieh

Hello! I am a postdoctoral researcher in the Department of Statistics at Rutgers university, where I develop statistical methodology for analyzing high-dimensional dependent data. 

Broadly speaking, I study how to make sense of large, complex data by combining tools from statistics, geometry, and econometrics. Lately, I've been working on time series that have rich structures—such as tensor- or manifold-valued data—with applications in macroeconomics, finance, and environmental studies.

Prior to Rutgers,  I received my Ph.D. in Econometrics and Statistics from the Booth School of Business, University of Chicago. 

• Complex, high-dimensional time series

• Manifold-valued data

• Machine learning for econometrics

[Google scholar]