Zeke Yuba is a Senior Data Scientist in San Francisco with a PhD in Neuroscience and six years of experience turning complex scientific problems into production-ready data products. He builds scalable pipelines and high-performance Python models for terabyte-scale datasets—recently modeling adoption and behavior of distributed energy resources across millions of locations using Ray and dbt. Zeke bridges domain science and product teams, having translated VR telemetry and neuroscience experiments into actionable insights and tools for behavior detection and automated sleep scoring. He’s comfortable across the stack from optimized SQL for large weather and grid asset datasets to web apps that combine scraping, OCR, and image processing. As a manager and mentor, he sets priorities, conducts interviews, and guides interns while keeping close to the code and modeling work. A scientist-turned-practitioner, he often applies experimental rigor from his PhD to question assumptions and validate product decisions empirically.
6 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at University of California, Berkeley
Bachelor of Science (BS), Neurobiology, Psychology, Bachelor of Science (BS), Neurobiology, Psychology at University of Washington
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