معرفی
Ryan Martin is a Professor in the Department of Statistics at North Carolina State University (NC State). He holds a Ph.D. in Statistics from Purdue University (2009) and a B.A. in Mathematics from Franklin College (2003). His research focuses on foundational aspects of statistics and probability, including generalized Bayes methods, imprecise probability, and high-dimensional problems. He co-founded Researchers.One, an innovative peer review platform.
Education:
- Ph.D., Statistics, Purdue University, 2009
- M.S., Statistics, Indiana University-Purdue University Indianapolis, 2005
- B.A., Mathematics, Franklin College, 2003
Research Interests:
His work emphasizes foundational statistical theory, with applications in imprecise probability, Bayesian methods, and high-dimensional inference. Notable contributions include inferential models (IMs), possibilistic frameworks, and regularization techniques for anytime valid inference. He actively explores computational methods for statistical efficiency and reliability.
Recent Contributions:
Recent work includes advancements in e-processes for efficient uncertainty quantification, variational approximations for possibilistic models, and theoretical developments in Bernstein-von Mises theorems. He also investigates Fisher's underworld and reliability in scientific inference.
Awards and Honors:
- D. D. Mason Award (2022)
- Van Dantzig Seminar Speaker (2021)
- Sigma Xi nominee (2020)
- Thank-a-Teacher Award (2018)
- I. W. Burr Award (2010)
Advising and Grants:
He has mentored over 50 graduate students and secured multiple NSF grants. Current projects include Bayesian model selection in high-dimensional settings and imprecise-probabilistic inference.
Labs/Teams:
Co-leads the Researchers.One initiative, promoting open scholarly communication. Active in collaborative networks on imprecise probability and statistical foundations.
