My research centers on quantitative analysis of dependent data, and my current interests include time series analysis, spatial statistics, spatial econometrics, and financial econometrics.  My work involves both statistical and econometric methodology development and empirical studies related to financial market and remote sensing data.  Although anchored in statistics, my research projects are interdisciplinary and lie at the intersection of statistics, applied probability, data science, finance, and economics.  Currently, I am working on problems related to high dimensional inference, spatial-temporal statistics, and deep neural networks.  I have been advising undergraduate and graduate students and postdoc scholars in these and relevant areas, and look forward to working with more undergraduate and graduate students and postdoc scholars who are interested in my research.  I also enjoy teaching statistical theory at all levels and their applications in different disciplines.