Yuwen Gu is an assistant professor in the Department of Statistics at the University of Connecticut. He received his PhD degree in statistics from the University of Minnesota and Bachelor’s degree from the University of Science and Technology of China (USTC).

He works on unconventional regression in high dimensional data analysis. Specifically, he deals with a class of penalized regressions in which the loss functions are not smooth to certain degrees. One particular model he used to study is the sparse asymmetric least squares and his current work is on the sparse quantile and composite quantile regressions.