Experienced geospatial analyst and spatial ecologist with expertise in satellite imagery analysis, geospatial data integration, and advanced AI applications. Research focuses on forest carbon/biomass accounting, phenology modeling, and understanding complex interactions between ecosystems, climate systems, and global change. Proficient in Python, R, and JavaScript, with hands-on experience in cloud computing platforms and image processing software. Talented Senior Research Fellow offering 5 years of experience completing both university-led and corporate research. Proficient in pursuing grant money, writing papers, and teaching courses.
Various satellite data processing: SAR data processing; Hyperspectral and Optical data Processing
Image processing software: ArcGIS, ERDAS, ENVI, Q-GIS, Geomatica, Grass GIS
Statistical and Modelling analysis: Python and R
Deep Learning Expertise
Machine Learning Proficiency
Programming: Python, C, R, JavaScript, Google Earth Engine (GEE)
Critical thinking abilities
In-depth Subject Knowledge
Documentation skills
Advanced Data Analysis
Artificial intelligence understanding
Open science practices
Data Visualization Mastery
Research implementation
Research design
Scientific Writing