Teaching

NRES 488 — Dynamics & Management of Wildlife Populations
Applied population ecology with a focus on how models inform management decisions. Topics include population growth, survival analysis, capture–recapture, occupancy modeling, harvest management, and population viability analysis, with case studies from contemporary wildlife issues.

NRES 710 — Graduate Environmental Statistics
Core methods in environmental data analysis, beginning with exploratory data analysis and linear regression, then extending to model checking, model selection, and information-theoretic approaches. Advanced topics include generalized linear models, mixed-effects models, and generalized linear mixed-effects models, with emphasis on implementation in R and reproducible research workflows.

NRES 797 — Bayesian Hierarchical Modeling
Graduate seminar focused on hierarchical Bayesian approaches to ecological and environmental data. Topics include multilevel models, spatio-temporal processes, ecological diffusion, and integration of spatial covariates. Students gain experience implementing models in R and Stan, with attention to uncertainty quantification, forecasting, and communicating results to decision makers.