Greg Nelson is an Assistant Professor and researcher who builds learning technologies for formal systems, combining HCI rigor with strong experimental and statistical methods. He earned a PhD in Computer Science and Engineering from the University of Washington under Amy Ko and now leads research and teaching at the University of Maine. His work spans visualization recommender systems, experiment design, mixed reality, and the theory and design of learning technologies, with an emphasis on rigorous evaluation. Before academia he spent five years in applied tech roles—closing banks during the financial crisis and architecting a national health resource system in Rwanda—experience that grounds his research in real-world complexity. He brings 15 years of technical and field experience across software engineering, data systems, and cross-sector collaboration, and is known for translating prototypes and Excel concepts into scalable, user-centered systems. Based in Maine and active during a current sabbatical, he blends practical delivery skills with a scholarly focus on making learning tools both measurable and impactful.
15 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at University of Washington
Bachelor of Science (BS), Physics and Computer Science, Magna Cum Laude, Bachelor of Science (BS), Physics and Computer Science, Magna Cum Laude at Georgetown University
An upstream fork of the original starter repo, with tasks organized into branches
Contributions:29 PRs, 27 pushes in 1 year
branchesorganizedupstream
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Greg Nelson - Assistant Professor at University of Maine