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.