Sunil Nepal, PhD, is a Carbon Analyst and Biometrician for SIG Carbon. He specializes in applying spatial and statistical techniques to understand and quantify forest resources, as well as analyzing and managing forest inventory data and forecasting growth and yield.

Sunil is broadly trained in forestry, silviculture, geospatial technology, data management, spatial and statistical analysis, data visualization, silviculture, forest inventory, the US Forest Service Forest Inventory and Analysis (FIA) database, and growth and yield modeling. His dissertation research combined field experiments, simulation modeling, and diverse spatial analyses to understand and quantify forest dynamics and forest health, and to inform natural resource management across small and large scales in the southern US.

Sunil has a doctorate in Forest Ecology and Statistics from Auburn University, a master’s in Forest Resources from Mississippi State University, and a bachelor’s in forestry from Tribhuvan University in Nepal.