About Shuo-Chieh
About Shuo-Chieh
I am an Econometrics and Statistics Ph.D. student at Booth School of Business, University of Chicago. My research develops statistical methods for the analysis of big, high-dimensional dependent data, such as handling non-stationarity, missing data, and algorithms for distributed computations. On the applied side, I am interested in tailoring machine learning methods to macroeconomic and finance applications.
Big, high-dimensional time series
Distributed computing
Machine learning for econometrics