About Shuo-Chieh

Hello! I am a postdoctoral researcher in the Department of Statistics at Rutgers university, where I develop statistical and econometric methods for complex time series. 

Broadly speaking, I study how to make sense of large, messy, and  non-standard data and turn them into actionable insights in economics, finance, and environmental studies. Lately, I've been studying time series with complex structures—such as manifold-valued data—whose hidden pattern can be revealed by integrating tools from statistics and geometry.

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]