Regina Liu

Affiliation: Rutgers University

Educational Background: PhD, Statistics, Columbia University

Regina Liu’s research areas include data depth and broad geometric multivariate analysis, resampling, confidence distribution, and nonparametric fusion learning in combining inferences from diverse data sources. Aside from theoretical and methodological research, she has long collaborated with the Federal Aviation Administration on aviation safety research projects about process control, text mining, and risk management.

Liu has served as editor for the Journal of the American Statistical Association, Theory and Methods, and Journal of Multivariate Analysis and as associate editor for several journals, including the Annals of Statistics. She is an elected fellow of the Institute of Mathematical Statistics and American Statistical Association. Among other distinctions, she is the recipient of the 2021 ASA Noether Distinguished Scholar Award and 2011 Stieltjes Professorship from the Thomas Stieltjes Institute for Mathematics in the Netherlands. She has delivered an IMS Medallion Lecture among other major lectures and served as president of the IMS from 2020–2021.

Liu grew up in Taiwan with an interest in pursuing applied mathematics and actuary science, but she fell in love with probability and statistics instead. In addition to establishing herself as an outstanding researcher, she is praised for providing exceptional service to the statistics and data science profession. In her capacity as a journal editor, department chair for the Rutgers Statistics Department (2005–2020), and IMS president, she has dedicated much effort to the outreach and promotion of junior researchers and under-represented groups. For example, she has been credited with making the Rutgers Statistics Department the well-known, warm, and nurturing place it is today.