Greg Gandenberger is a Senior Software Engineer with a decade of experience bridging data science, machine learning, and autonomous systems. He currently focuses on AV behavior evaluation at Waymo and previously led end-to-end ML initiatives at Cruise, including live near-miss detection and automated data pipelines that accelerated dataset readiness. A co-creator of open-source tools Wildebeest and Model Inspector, he also built Autofocus for camera-trap animal classification, underscoring a pattern of translating research into practical tooling at scale. His unusual combination of a PhD in History and Philosophy of Science and an MA in Statistics informs rigorous experimental design and thoughtful evaluation of ML systems. Based in Chicago, Greg has shaped education as a Distinguished Faculty at General Assembly and has contributed across AI domains from satellite imagery to CV. He continues to turn foundational research into production-ready AI applications for the next stage of his career.
10 years of coding experience
11 years of employment as a software developer
Data Science, Data Science at The Data Incubator
Bachelor of Arts (B.A.), Philosophy, Summa cum laude, Bachelor of Arts (B.A.), Philosophy, Summa cum laude at Washington University in St. Louis
Doctor of Philosophy (PhD) History and Philosophy of Science, Doctor of Philosophy (PhD) History and Philosophy of Science at University of Pittsburgh
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Greg Gandenberger - Senior Software Engineer at Waymo