B.S., Beijing Normal University; M.S., Ph.D., Pennsylvania State University
Qing (Wendy) WangAssistant Professor of Mathematics
Statistician specializing in topics of U-statistics, nonparametric kernel density estimation, risk estimation, variance estimation, cross-validation, resampling schemes, and extrapolation techniques.
I was born and grew up in Beijing, China. I came to the U.S. to pursue a graduate degree in 2007 and received Ph.D. in Statistics from Penn State University in 2012. Prior to joining Wellesley, I was a tenure-track Assistant Professor of Statistics at Williams College from 2012 to 2015, and at Bentley University from 2015 to 2016.
My research examines topics in U-statistics, nonparametric kernel density estimation, risk estimation, variance estimation, and cross-validation. My recent research interests also include penalization methods, nonparametric regression, quantile estimation, and multi-label classificaiton using machine learning techniques.
My teaching considers both applied and theoretical topics in statistics, including introductory statistics, regression analysis, probability, multivariate data analysis, nonparametric statistics, Bayesian statistics, etc.
I enjoy working with students on research topics in statistics. I also have great interest in undergraduate statistics education.