CV

A short, public summary appears below.

Position

University of Arkansas at Little Rock — faculty in mathematics and statistics; director of the Math Assistance Center.

Research interests

  • Bias-robust Bayesian meta-analysis (RoBMA, model-averaged Bayes factors, selection models).
  • Publication bias and evidential fragility in applied literatures.
  • Nutrition and health evidence synthesis.
  • Reproducible statistical workflows (R, Quarto, Git, simulation).
  • Statistics education, including Bayesian intuition at the introductory level and responsible use of AI tools.

See the Research page for current project descriptions.

Teaching and service

See the Teaching page for current courses.

Selected work

Preprint. Hester, M. Quantifying Evidential Rigor in Meta-Analytic Corpora: A Simulation-Characterized, Bias-Robust Bayesian Workflow with a Nutrition Case Study. Public preprint, arXiv:2606.01428.

See the Research page for a plain-language description.

Identifiers