Summary
Matt Cooper is a data engineer and researcher with 10 years of experience building scalable data pipelines and analytic systems across academia, startups, and non-profits. He combines deep domain expertise in climate and human well-being with hands-on skills in Python/R, SQL/NoSQL, cloud platforms (AWS/GCP/Azure), containerization, parallel processing, and ML/NLP—regularly working with global gridded climate datasets and hundreds of millions of records. He has led distributed teams, prototyped cloud architectures for commodity futures, reinsurance, and biodiversity modeling, and translated complex research into production-ready solutions. Comfortable in Linux with zsh, vim and tmux, he pairs researcher rigor (PhD in Geographical Sciences) with pragmatic engineering to move models from experiment to deployment. A practical collaborator who has worked across time zones and cultures, he brings both field experience (Peace Corps forestry work) and academic-to-industry breadth that helps bridge data science and real-world impact.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA) Geography and Anthropology, Bachelor of Arts (BA) Geography and Anthropology at University of Florida
Doctor of Philosophy - PhD Geographical Sciences, Doctor of Philosophy - PhD Geographical Sciences at University of Maryland
MA Geography, MA Geography at University of North Carolina at Chapel Hill
English, French, Spanish, Tagalog, bambara, Arabic