Summary
George Dang is a Senior Data Scientist at Brown University who combines an environmental science background with six years of applied data science and research software engineering experience. After a decade working in environmental consulting and field research, he now builds software and collaborates on reproducible research workflows at a university computation center. His work sits at the intersection of ecology, water quality, and data-driven modeling, translating domain knowledge into robust analytical tools. Based in Providence, he brings practical field experience from roles at Anchor QEA and Four Peaks to computational projects, which helps him bridge messy real-world data and scalable research software. Notably, he leverages his hands-on environmental research roots to inform pragmatic, science-first engineering decisions.
6 years of coding experience
14 years of employment as a software developer
BS, BS at Cornell University
MS, MS at University of North Carolina at Chapel Hill
English, Vietnamese