Summary
Weigang Tang is a Remote Sensing Specialist and PhD researcher in Hydrology with nine years of experience applying machine learning and geospatial analysis to hydroclimatic and environmental problems. He builds scalable, cloud-native workflows for satellite imagery—covering land classification, change detection, and cloud-free compositing—and implements time-series and statistical methods to track vegetation recovery and degradation. Proficient in Python, he combines data wrangling, visualization (Plotly dashboards), and ML model deployment to turn large remote-sensing datasets into actionable insights for environmental management. His academic grounding from McMaster and earlier geomatics and geography degrees gives him deep domain expertise in hydrological modelling and spatial data science. Colleagues describe him as a researcher-practitioner who bridges rigorous hydroclimatic science with production-ready analytics.
8 years of coding experience
Doctor of Philosophy - PhD, Hydrology and Water Resources Science, Doctor of Philosophy - PhD, Hydrology and Water Resources Science at McMaster University
Bachelor of Science (B.S.), Geography, Bachelor of Science (B.S.), Geography at Wuhan University
Bachelor of Environmental Studies, Geomatics, Bachelor of Environmental Studies, Geomatics at University of Waterloo
English, Chinese