Environmental data comes from everywhere—field surveys, sensors, satellites, eDNA samples. I handle the complex data engineering needed to integrate diverse sources, fill gaps, and create analysis-ready datasets from raw observations.
Get statistical rigor and methodological defensibility for research publications, regulatory submissions, or stakeholder reporting. Analysis designed to meet academic peer review standards, compliance requirements, and funder expectations.
Use machine learning and predictive modeling to forecast species responses, test intervention strategies, assess environmental risks, and plan for climate scenarios. Make evidence-based decisions about where to focus limited conservation or management resources.