Her research has been published in various academic journals such as European Journal of Operational Research, International Journal of Forecasting, International Journal of Production Research, Statistical Analysis and Data Mining, Machine Learning, and Pattern Recognition. She is currently the PI of two NSFC grants and actively participates in other grants, including one supported by the National Key Research and Development Program and one by Alibaba’s Innovative Research Program. She also serves as an Associate Editor for the International Journal of Forecasting and the R Journal.
Research Experience
Prior to joining Beihang University, she worked as a Senior R&D Engineer in the Big Data Group of Baidu Inc. and as a postdoctoral research fellow at Monash University. Her research primarily focuses on addressing large-scale time series forecasting challenges by developing innovative methods in forecast combinations, hierarchical forecasting, and intermittent demand forecasting.
Education
September 2010—August 2014, Doctor of Philosophy, Monash University, Australia; September 2009—July 2010, Master’s course work in Statistics, Renmin University of China.
Background
Research interests include time series forecasting, time series visualization, text mining, and statistical computing. Currently, she is a Professor at the School of Economics and Management, Beihang University, and the Head of the Department of Quantitative Economics & Business Statistics.
Miscellany
She is a council member of the Chinese Statistical Education Society and the Beijing Big Data Association.