Bei Chen is a Statistician with primary interests in time series analysis, forecasting, resampling/subsampling methods for dependent data and financial econometrics. Her recent work focuses on statistical methods in urban applications.
Bei Chen received her BMath in Statistics and Actuarial Science (with Dean's Honour's list and President's Award), MMath and PhD in Statistics (with Outstanding Achievement in Graduate Studies Award) from the University of Waterloo, Canada. She is the recipient of the 2011 Pierre Robillard Award of the Statistical Society of Canada, which recognizes the best thesis in probability and statistics defended at a Canadian university.
Prior to joining IBM, Bei Chen was an tenure-track Assistant Professor (September 2011 - October 2012) in the Department of Mathematics and Statistics at McMaster University, Canada. Her research was funded by various grants, including NSERC, ECR and MITACS.