Dan Morris is a research scientist specializing in applying AI and computer vision to ecological and clinical problems, currently leading AI for Nature and Society work at Google. With a PhD in Computer Science from Stanford and a background in neurobiology, he blends domain knowledge from neuroscience, electrical engineering, and conservation to design practical ML solutions and thoughtful feature engineering. He spent over a decade at Microsoft Research prototyping hardware, signal-processing systems, and remote sensing pipelines that accelerate biodiversity surveys and reduce ecologists' workload. Comfortable collaborating across disciplines, he has led projects in gesture recognition, brain-computer interfaces, surgical simulation, and computer music—often focusing on problem formulation rather than just model training. A hands-on tinkerer who misses soldering if he goes too long without it, he pairs experimental hardware skills with production-minded research. Based in Bellevue, WA, he brings a rare mix of academic rigor and applied engineering to interdisciplinary AI challenges.
Contributions:4 pushes, 1 branch in 2 years 8 months
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