Dieu Nguyen is a machine learning engineer with eight years of interdisciplinary experience applying computer vision, ML, and agent-based modeling to biological and Earth science problems. Trained with a PhD and MS in Computer Science from CU Boulder and a dual undergraduate background in neuroscience and creative writing, Dieu bridges rigorous quantitative methods with clear scientific communication. Their work spans honey bee collective behavior and pose estimation to cloud-enabled data workflows at NASA and forest ecosystem ML at Planet, demonstrating ease moving from field experiments to production pipelines. They’ve built computational models showing how simple behavioral rules produce complex collective patterns and developed dense detection and activity-recognition systems for biological data. Comfortable in research and applied settings, Dieu brings both experimental design sensibilities and scalable engineering practices to data-rich environmental and biological problems. A less obvious strength is their creative-writing training, which sharpens how they translate complex models and results into compelling narratives for diverse audiences.
8 years of coding experience
9 years of employment as a software developer
The University of Arizona
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Colorado Boulder
Contributions:1 release, 4 PRs, 13 pushes in 9 months
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