Yiqiu Shen is a 4th year Ph.D. candidate in Statistics at the Department of Data Sciences and Operations at Marshall School of Business at USC. Her research interests are in high-dimensional statistics and statistical learning theory. Her advisors are Stanislav Minsker and Gourab Mukherjee. Her qualifying exam title is Average Case Analysis of Lasso under Contaminated and Correlated Design.
Prior to graduate school, she received she undergraduate degree in Applied and Computational Mathematics from the Department of Mathematics at USC.
Areas of Expertise
RESEARCH + PUBLICATIONS