Experienced Forester specializing in forest estate and carbon budget modeling. Proficient in programming, machine learning, geospatial analysis, life cycle assessment. Dedicated to utilizing data-driven solutions to optimize forest carbon management, improve environmental impact assessments, support ESG initiatives, and make a meaningful contribution to global climate change mitigation.
Programming (Python, R, SQL, VBA, Git)
Forest Estate Modelling (Patchworks, Woodstock, ws3, FSOS)
Carbon Budget Modelling (CBM-CFS3, GCBM, libcbm)
Growth and Yield Modelling (TIPSY, VDYP, TASS, FVS)
Geospatial Analysis (ArcGIS Pro, QGIS, Google Earth, ENVI)
Machine Learning (CNN, RNN, Transformer, Random Forest)
Faculty of Forestry, University of British Columbia
Faculty of Forestry, Fujian Agriculture and Forestry University