Integrating ecological models and geospatial data to assess climate-driven forest change and carbon dynamics
I integrate process-based ecosystem models, remote sensing, and spatial data science to quantify carbon fluxes, evaluate management interventions, and understand climate-driven forest transitions. My work bridges ecological theory and applied modeling to support robust carbon accounting, ecosystem resilience, and sustainable land management.
Looking ahead, I aim to advance scalable modeling frameworks that improve how we measure, predict, and manage forest carbon systems under changing environmental conditions.