Xinghao’s research is focused on (i) functional and longitudinal data analysis, (ii) high dimensional statistical inference, e.g. covariance and precision matrix estimation, variable selection, (iii) time series analysis, e.g. functional time series, high dimensional time series, (iv) statistical machine learning with applications in Business, Neuroimaging Analysis and Environmental Sciences.
Prior to joining the ÐÓ°ÉÂÛ̳ as an Assistant Professor in Statistics, Xinghao earned his PhD in Business Statistics from Marshall School of Business at the University of Southern California, M.S. in Statistics at the University of Chicago and B.S. in Mathematics and Physics at Tsinghua University.