Summary
Bob Spunt is a Senior Data Scientist in Seattle with ~11 years in industry and a prior 15+ year research career probing human decision-making and social cognition. He translates high-volume telemetry and experimental data into actionable insights for products like Photoshop and Lightroom, specializing in instrumentation, metric design, and product-led growth measurement. Bob blends cognitive neuroscience, social psychology, and HCI with pragmatic engineering—building reusable Python/JS tooling and production workflows across BigQuery, experimentation, and ML. An early adopter and advocate for agentic AI, he designs human-in-the-loop and multi-agent data science workflows while navigating real-world failure modes like context drift and source-of-truth ambiguity. His academic work produced open-source neuroimaging tools and high-impact publications, reflecting a commitment to measurement validity, reproducibility, and usable science. Colleagues know him as a scientist-first practitioner who uses technology to deepen understanding of real human behavior, not to replace it.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA, Bachelor of Arts - BA at University of California, Berkeley
University of California, Los Angeles