Ryan Miller

Assistant Professor
Offices, Departments, or Centers: Mathematics , Statistics ,

Ryan's statistical research interests involve penalized regression modeling approaches, which include well-known methods like the LASSO and elastic net, non-convex penalties such as MCP and SCAD and their variants, as well as structured approaches like the group LASSO. These models are attractive in the analysis of high-dimensional data, particularly in scenarios where the number of available predictors exceeds the number of data-points. A primary advantage of penalized regression over other machine learning approaches is the interpretability of the resulting models. Ryan's research focuses on false discovery rate approaches of statistical inference for penalized regression models.

Ryan is also actively involved in driving research applications focusing on the analysis of driving simulator data in the context of drugged an impaired driving experiments.  These experiments often produce several gigabytes of time series data that must be processed and analyzed within the context of repeated-measures study designs.

Education and Degrees

Ph.D, MS - University of Iowa, Department of Biostatistics
BA - Augustana College

We use cookies to enable essential services and functionality on our site, enhance your user experience, provide better service through personalized content, collect data on how visitors interact with our site, and enable advertising services.

To accept the use of cookies and continue on to the site, click "I Agree." For more information about our use of cookies and how to opt out, please refer to our website privacy policy.