Asking clear, testable questions and building studies that are replicable, scalable, and ecologically meaningful.

Ensuring rigorous QA/QC, reproducible workflows, and creative use of quantitative tools to unlock reliable inference.

Transforming complex datasets into actionable insights for conservation, restoration, policy, and beyond.

Integrating ecological, social, and management dimensions to reflect the real-world complexity of ecosystems.

Training students and collaborators to approach problems with quantitative skill, creativity, and applied purpose.

Communicating results that empower communities, managers, and decision-makers to protect ecosystems and people.