I am a Senior Forestry Officer from Bhutan working at the intersection of climate science, biodiversity conservation, and data-driven environmental decision-making.
My work integrates:
- Forest carbon modeling
- Species distribution modeling (SDM)
- Camera trap analytics & occupancy modeling
- Climate vulnerability assessment
- GIS, remote sensing, and AI-based ecological analysis
I focus on building reproducible, policy-relevant scientific workflows that translate ecological data into conservation action.
Senior Forestry Officer
Department of Forests and Park Services (DoFPS)
Royal Government of Bhutan
- Lead IKI Living Landscape & BFL conservation programs
- Manage Biological Corridor 03 (South Central Bhutan)
- Develop climate-responsive forest management strategies
- Implement biodiversity monitoring networks across protected areas
- Conduct advanced geospatial and machine learning analyses for conservation planning
- Forest carbon stock modeling (AGB, BGB)
- Remote sensing-based biomass estimation
- Climate-driven carbon projections (CMIP6 scenarios)
- Ecosystem Integrity Index (EII) applications
- MaxEnt, Random Forest, BRT, GLM ensembles
- Habitat suitability & connectivity modeling
- Climate niche modeling across elevation gradients
- SDM under SSP245 & SSP585 scenarios
- Occupancy modeling
- Community ecology analysis
- Spatial prioritization
- Human-wildlife conflict modeling
- R (terra, sf, dismo, gbm, randomForest, brms)
- Python (geopandas, xarray, rasterio, sklearn)
- Google Earth Engine
- QGIS & ArcGIS
- Git & reproducible research pipelines
- Advanced Machine Learning for Ecology
- AI agent systems for scientific automation
- Cloud-based geospatial processing (GEE, AWS)
- Reproducible research architecture (containers, deterministic pipelines)
- Omdena Bhutan AI Specialized Training
- Climate-driven carbon sequestration projections for Bhutan
- Publication-level SDM and ecosystem modeling workflows
- Integrating AI into biodiversity and conservation planning
- Open, reproducible ecological workflows
- Environmental data science applications
- Climate adaptation & resilience modeling
- AI-assisted conservation decision-support systems