Zhimei Ren

Zhimei Ren
  • Assistant Professor of Statistics and Data Science

Contact Information

  • office Address:

    317 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: Distribution-free inference, multiple hypothesis testing, data-driven decision making, causal inference, survival analysis



Ph.D. in Statistics, Stanford University, 2021
Advisors: Emmanuel Candès

B.S. in Statistics, Peking University, 2016

Academic Positions Held

Postdoctoral Researcher, University of Chicago, 2021-2023

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All Courses

  • AMCS5999 - Independent Study

    Independent Study allows students to pursue academic interests not available in regularly offered courses. Students must consult with their academic advisor to formulate a project directly related to the student’s research interests. All independent study courses are subject to the approval of the AMCS Graduate Group Chair.

  • AMCS9999 - Ind Study & Research

    Study under the direction of a faculty member.

  • STAT4310 - Statistical Inference

    Graphical displays; one- and two-sample confidence intervals; one- and two-sample hypothesis tests; one- and two-way ANOVA; simple and multiple linear least-squares regression; nonlinear regression; variable selection; logistic regression; categorical data analysis; goodness-of-fit tests. A methodology course. This course does not have business applications but has significant overlap with STAT 1010 and 1020. This course may be taken concurrently with the prerequisite with instructor permission.

  • STAT9910 - Sem in Adv Appl of Stat

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

  • STAT9950 - Dissertation

Awards and Honors

  • Rising Star in Data Science, University of Chicago, 2022
  • Waterloo Student Conference Presentation Award, University of Waterloo, 2021
  • First Prize of the 2018 Citadel Datathon, Stanford University, 2018

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