Jinchi Lv is a statistician, data scientist, professor of mathematics, and a chaired professor in the Data Sciences and Operations department of the Marshall School of Business at the University of Southern California.^[1] He is a co-developer of several data science learning, inference methods and algorithms for feature screening, model selection with misspecification, large Gaussian graphical models, and feature selection with controlled error rates such as the sure independence screening (SIS), the generalized Bayesian information criterion with prior probability (GBICp), the innovated scalable efficient estimation (ISEE), and the model-X knockoffs (MXK). He is an elected fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the recipient of the Royal Statistical Society's Guy Bronze Medal.^[2][3][4]