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.
  • Human-governed AI and curriculum infrastructure, including the Course Builder course-design harness.

See the Research page for current project descriptions.

Teaching and service

  • Undergraduate and graduate teaching in mathematics and statistics.
  • Director of the Math Assistance Center (MAC) at UA Little Rock.
  • Maintainer of a ten-site public mathematics and statistics course-material portfolio.
  • Developer of Course Builder, a human-governed course-design harness for AI-assisted curriculum work.

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.

System development. Course Builder — a human-governed course-design harness (repo-native analytic exoskeleton) for AI-assisted curriculum work. Its current public demonstration layer is a ten-site course-material portfolio. See the Research page and the Teaching page.

Identifiers