Draft:Jinchi Lv
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Jinchi Lv is a statistician and data scientist, and a chaired professor in the Data Sciences and Operations (DSO) Department of the Marshall School of Business at the University of Southern California (USC), as well as a professor of Mathematics.[1] He currently chairs the DSO Department of USC Marshall School of Business since 2023 and has served on the university-level UCAPT committee (University Committee on Appointments, Promotions, and Tenure) during 2019-2024.[2][3] He is a co-developer of several popular data science learning and 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 (ASA) and the Institute of Mathematical Statistics (IMS) as well as a recipient of the Royal Statistical Society (RSS) Guy Medal in Bronze and the NSF Faculty Early Career Development (CAREER) Award.[4][5][6]
References[edit]
- ^ "Jinchi Lv - USC Marshall".
- ^ "Department Chairs - USC Marshall".
- ^ "UCAPT - Office of the Provost - USC Provost". 14 May 2021.
- ^ "A list of 2020 ASA Fellows - American Statistical Association" (PDF).
- ^ "Institute of Mathematical Statistics - Honored IMS Fellows".
- ^ "A list of previous recipients of the Society's honours (PDF) since 1892 - Royal Statistical Society" (PDF).