Directory Profile

Headshot of Ryan Peterson

Ryan Peterson PhD, MS

Assistant Professor
  • Center for Innovative Design & Analysis
  • Department of Biostatistics & Informatics

Pulmonary Translational Biostatistics and Bioinformatics Core in the Division of Pulmonary & Critical Care at the University of Colorado Anschutz Medical Campus. He is a passionate statistical collaborator whose research interests span a range of specialized areas, including clinical trials, infectious disease epidemiology, machine learning, model selection, interpretability, statistical computation, best practices for statistical collaboration, and missing data. He is also an active member of the Center for Innovative Design & Analysis, which provides a broad range of statistical expertise for researchers both locally and across the nation. Dr. Peterson obtained his BA in Economics at St. Olaf College, and his PhD in Biostatistics from the University of Iowa.

What's in your data?    Insight   

"The novelty—I am always learning new and interesting things, and understanding the world in new ways."

"A biostatistician has broad appeal in the sciences. We can help solve a lot of issues with study design and we can aid in the forming and interpretation of the results. This makes us an indispensable component of science in general."

Areas of Expertise

  • Model selection
  • Interpretability in machine learning
  • Statistical computation/software
  • Best practices for statistical collaboration
  • Missing data

Education, Licensure & Certifications

  • PhD, Biostatistics, University of Iowa, 2019
  • MS, Biostatistics, University of Iowa, 2016
  • BA, Economics, St. Olaf College, 2014


  • Milford E. Barnes Award, University of Iowa, 2019
  • Best Poster Award, International Biometrics Conference, 2020; Best Paper Award, Journal of Applied Statistics
  • Early Career Award, Association for Clinical and Translational Statisticians, 2021
  • Best Contributed Session Award, American Statistical Association Statistical Consulting Section (Joint Statistical Meetings), 2023.

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