I am a Postdoctoral Researcher in the School of Forestry at the University of Canterbury, where I design and lead research that bridges technological innovation and applied forest science. Building on my PhD, my work focuses on creating operational frameworks using integrated remote sensing data—from satellites to UAVs—and machine learning models to solve critical challenges in forestry.

My research program centers on three pillars:

• Scalable Forest Intelligence: Developing automated pipelines for large-scale, species-level classification and health monitoring.

• Precision Biomass & Carbon Accounting: Creating next-generation, site-adapted models that improve the accuracy of biomass estimation and carbon sequestration tracking.

• Advanced Phenotyping Systems: Engineering novel methods to remotely quantify architectural and physiological tree traits, accelerating genetic selection and silvicultural research.

I conduct this work within the FOReST (Forest Observation with Remote Sensing Technologies) research team under the mentorship of Professor Justin Morgenroth and Senior Lecturer Cong (Vega) Xu. In my postdoctoral role, I collaborate closely with industry and academic partners to ensure our research delivers robust, actionable tools for the future of forest management.