Lingzhou Xue is an Associate Professor of Statistics and Assistant Director of the National Institute of Statistical Sciences. He is the Core Faculty of both Statistical Learning and Data Mining (SLDM) Lab and Microbiome Data Science (MDS) Lab. He received B.Sc. in Statistics from Peking University in 2008 and Ph.D. in Statistics from the University of Minnesota in 2012. He was a postdoctoral research associate at Princeton University from 2012-2013.

He became an Elected Member of the International Statistical Institute in 2016. He received the Bernoulli Society New Researcher Award and International Consortium of Chinese Mathematicians Best Paper Award in 2019.

His research interests include high-dimensional statistics, statistical machine learning, optimization, econometrics, and statistical applications in biological science, business analytics, environmental science, and social science. His papers have been published in top-tier journals in statistics and data science, including The Annals of Statistics, Biometrics, Biometrika, eLife, INFORMS Journal on Optimization, Journal of the American Statistical Association, Journal of Accounting & Economics, Journal of Business & Economic Statistics, Journal of Econometrics, Environmental Science & Technology, Monthly Weather Review, Nature Materials, Proceedings of the IEEE, etc. His research has been supported by the National Science Foundation (NSF), National Institutes of Health (NIH) and Simons Foundation.

His advised Ph.D. students have received a number of paper awards and fellowships, including 2019 Statistics in Imaging Best Student Paper Award, 2018 Risk Analysis Best Student Paper Award, 2018 Business and Economic Statistics Best Student Paper Award, and 2016 Statistical Learning and Data Science Best Student Paper Award from the American Statistical Association (ASA), 2016 Best Student Paper Award from the International Chinese Statistical Association (ICSA), 2018 Science for Social Good Fellowship from IBM Research, as well as 2020 Patil-Taillie Scholarship, 2018-2020 Computation, Bioinformatics, and Statistics Fellowship, 2019 Erickson Discovery Grant, 2019 Patil-Taillie Scholarship, 2018 J. Keith Ord Scholarship, and 2015-2017 Academic Computing Fellowship from Penn State University.

Education & Experiences
  • Associate Professor of Statistics, Eberly College of Science, Pennsylvania State University, 2019 - present.
  • Assistant Professor of Statistics, Eberly College of Science, Pennsylvania State University, 2014 - 2019
    • Affiliated Graduate Faculty of Operations Research (OR, link) Program, Social Data Analytics (SoDA, link) Program, and Computation, Bioinformatics, and Statistics (CBIOS, link) Training Program, 2018 - present.
    • Associate Faculty, Institute for Computational and Data Sciences (formerly known as Institute for CyberScience, link), 2017 - present.
  • Assistant Director, National Institute of Statistical Sciences (NISS), 2017 - present.
  • Postdoctoral Research Associate, Princeton University, 2012 - 2013
    Mentor: Professor Jianqing Fan
  • Long Term Visitor, Institute for Mathematics and its Applications (IMA), 2011-2012
  • Ph.D. in Statistics, University of Minnesota, 2008 - 2012
    Advisor: Professor Hui Zou
  • M.Sc. in Statistics, University of Minnesota, 2008 - 2011
  • B.Sc. in Statistics, Peking University, 2004 - 2008
  • Advisor: Professor Zhi Geng
Honors and Awards
  • International Consortium of Chinese Mathematicians (ICCM) Best Paper Award, 2019.
  • Bernoulli Society (BS) New Researcher Award, 2019.
  • International Chinese Statistical Association International Conference Young Researcher Award, 2016
  • International Statistical Institute (ISI) Elected Meber, 2016
  • American Mathematical Society (AMS) Simons Travel Award, 2014-2016
  • Institute of Mathematical Statistics (IMS) Travel Award, 2014
  • Distinguished Student Paper Award, International Biometric Society (IBS) Eastern North American Region (ENAR) Spring Meeting, 2011
  • Student Paper Competition Winner, American Statistical Association (ASA) Statistical Learning and Data Mining Section, 2010
  • Best Poster Award & Travel Award, Workshop on "Borrowing Strength Theory Powering Applications", 2010
  • Best Overall Contribution Award in 2008 IEEE WCCI Causality Challenge, 2008