Ran Dai

Ran Dai

PhD (2016-2020)

University of Chicago, Department of Statistics

Ran Dai received her PhD in Statistics at the University of Chicago in July 2020. Ran’s research interest is in high dimensional inference, nonparametric modeling, and shape-constrained regressions, multiple testing, and causal inference. In particular, Ran is interested in developing computationally efficient algorithms for these problems with statistical convergence guarantee and valid inference; and applying these methods towards real datasets in the areas of drug development, HIV mutation study and cancer study.

Personal Website

  • High-dimensional statistical inference
  • High-dimensional shape constrained methods
  • Machine learning
  • PhD in Statistics, 2020

    University of Chicago

  • MS in Statistics, 2016

    University of Chicago

  • PhD in Medicinal and Pharmaceutical Chemistry, 2015

    University of Minnesota Twin Cities

  • BS in Pharmaceutical Sciences, 2009

    Peking University