Tyler Chase is a Senior Data Scientist with a decade of experience applying machine learning and time-series methods to supply chain and IoT problems at companies like Fortune Brands and Noodle.ai. He blends a PhD-level background in applied physics and hands-on prototyping—ranging from photoluminescent solar concentrators for NASA collaborations to complex data acquisition systems—with production ML engineering and deployment. At Noodle.ai he led demand prediction and inventory POCs that delivered measurable business lifts and contributed reproducibility improvements that informed product features. Comfortable leading teams or working independently, he pairs rigorous experimental thinking with pragmatic tooling (Python/SQL, TensorFlow/MLflow) to move models from research into enterprise SaaS at scale. Based in San Francisco, he’s as comfortable debugging scientific instruments as he is architecting data pipelines for global customers.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at University of California, Davis
Doctor of Philosophy - PhD, Applied Physics, Doctor of Philosophy - PhD, Applied Physics at Stanford University
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