Steven Alberding (joint with Kai Wang)

Oscar Rysavy

Yujing Lu

Yoon Joo Cho

Logan Harris
University of Colorado, Department of Biostatistics
High-dimensional intervals for penalized regression (2025)

Tabitha Peter
Merck
Software for analyzing global family-based association studies: penalized linear mixed models for correlated genetic data with application to orofacial clefts (2025)

Collin Nolte
Grinnell College, Department of Mathematics and Statistics
What you see is what you get: A closer look at bias in the visual world paradigm (2023)

Chuyi Wang
Liberty Mutual Insurance
Feature screening rules and algorithms for efficient optimization of sparse regression models (2021)

Anna Reisetter
Xaira Therapeutics
Penalized linear mixed models for structured genetic data (2021)

Biyue Dai
University of Minnesota, Division of Biostatistics
Projection-based inference and model selection for penalized regression (2019)

Sheng Wang
JDA Software
Regularized skewness parameter estimation for multivariate skew normal and skew t distributions (2019)

Ryan Miller
Grinnell College, Department of Mathematics and Statistics
Marginal false discovery rate approaches to inference on penalized regression models (2018)

Yaohui Zeng
Waymo
Scalable sparse machine learning methods for big data (2017)

Michael Singleton
CorEvitas
Nonlinear hierarchical models for longitudinal experimental infection studies (2015)

Yinglei Li
Janssen: Pharmaceutical Companies of Johnson and Johnson
Genetic association testing of copy number variation (2014)